Changes

This Technical Note (TN for short) illustrates hot how to use [https://www.nxp.com/design/software/development-software/eiq-ml-development-environment:EIQ eIQ ] in combination with Mito8M, one of the DAVE Embedded Systems's latest SoM's, which is built upon the [https://www.nxp.com/products/processors-and-microcontrollers/arm-processors/i.mx-applications-processors/i.mx-8-processors/i.mx-8m-family-armcortex-a53-cortex-m4-audio-voice-video:i.MX8M i.MX8M processor by NXP].

With regards regard to the hardware, the testbed consists of the same platform described [[MISC-TN-008:_Running_Debian_Buster_(armbian)_on_Mito8M |here]].

* Linux kernel imx8qmmek 4.14.98-imx_4.14.98_2.0.0(built with the Linux L4.14.98 GA Yocto BSP release for i.MX 8 family of devices with support for NXP eIQ software)* eIQ-enabled YocotYocto-based root file system(built with the Linux L4.14.98 GA Yocto BSP release for i.MX 8 family of devices with support for NXP eIQ software); as such, this root file system includes the following packages:**OpenCV 4.0.1**Arm Compute Library 19.02**Arm NN 19.02**ONNX runtime 0.3.0**TensorFlow 1.12**TensorFlow Lite 1.12.

NXP document [https://www.nxp.com/docs/en/nxp/user-guides/UM11226.pdf UM11226Rev. 2, 06/2019] describes illustrates how to build eIQ software support using Yocto Project tools. Even though the official procedure was tested against Ubuntu 16.04, the build was completed successfully on the host running Ubuntu 18.04 as well.

This processor is capable Regarding this TN, two of running either at 800 MHz or 1them are of interest: the Linux kernel image (<code>Image--4.14.3 GHz98-r0-imx8qmmek-20200127085034. The tests were performed at either frequencies in order to determine how bin</code>) and the it affects the RAM bandwidthext4 root file system image (<code>fsl-image-qt5-imx8qmmek-20200128141054.rootfs.ext4</code>).

The following table details Please note that the characteristics of the SDRAM bank connected building process takes several hours to the SoC. {| class="wikitable"|+! rowspan="2" |Subsystem! rowspan="2" |Feature!Platform|-!Mito8M|-| rowspan="6" |SoC|SoC|NXP i.MX8M Quad|-|ARM core(s)|4 x Cortex A53|-|ARM core frequency[MHz]|800 or 1300|-|L1 cache (D)[kB]|32|-|L1 cache (I)[kB]|32|-|L2 cache[MB]|1|-| rowspan="6" |SDRAM|Type|LPDDR4|-|Frequency[MHz]|1600|-|Bus witdth[bit]|32|-|Theoretical bandwidth[Gb/s]|102.4|-|Theoretical bandwidth[complete and that almost 180 GB/s]|12.8|-|Size[MB]|3072|} ===Software configuration=== * Linux kernel: 4.14.98*Root file system: Debian GNU/Linux 10 (buster)* Architecture: aarch64* Governorof disk space are required: userspace @ 800 MHz or 1300 MHz

root@Mito8M:~# echo userspace > /sysdevel/deviceseIQ/systemfsl-arm-yocto-bsp$ du -ch --max-depth=1 313M    ./cpu.repo99M     ./cpu0sources30G     ./cpufreq/scaling_governordownloadsroot@Mito8M:~# cat /sys/devices/system/cpu/cpu0/cpufreq147G    ./scaling_governorbuild-xwaylanduserspaceroot@Mito8M:~# cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_cur_freq177G    .800000177G    total

Some benchmarks were built natively on the platform under test. For a detailed dump of the sake of completenessfull bootstrap process, please refer to the version of following section.===Bootstrap process===Please click on ''Expand'' on the top right corner to open the GCC compiler is then indicated as well:box.<pre class="board-terminalmw-collapsible mw-collapsed">armbian@Mito8M:~/devel/lmbench$ gcc U-vUsing builtBoot SPL 2018.03-in specs.COLLECT_GCC=gccCOLLECT_LTO_WRAPPER=/usr/lib/gcc/aarch6408018-linuxg59e59e6f85-gnu/8/ltodirty (Nov 29 2019 -wrapper12:42:16 +0100)TargetPMIC: aarch64-linux-gnu PFUZE100 ID=0x10Configured withDDRINFO: ../src/configure -v --with-pkgversion='Debian 8.3.0-6' --with-bugurl=filestart lpddr4 ddr initDRAM PHY training for 3200MTScheck ddr4_pmu_train_imem codecheck ddr4_pmu_train_imem code passcheck ddr4_pmu_train_dmem codecheck ddr4_pmu_train_dmem code passTraining PASSDRAM PHY training for 667MTScheck ddr4_pmu_train_imem codecheck ddr4_pmu_train_imem code passcheck ddr4_pmu_train_dmem codecheck ddr4_pmu_train_dmem code passTraining PASSDRAM PHY training for 3200MTScheck ddr4_pmu_train_imem codecheck ddr4_pmu_train_imem code passcheck ddr4_pmu_train_dmem codecheck ddr4_pmu_train_dmem code passTraining PASSDDRINFO:///usr/share/doc/gcc-8/README.Bugs --enable-languages=c,ada,c++,go,d,fortran,objc,obj-c++ --prefix=/usr --with-gcc-major-version-only --program-suffix=-8 --program-prefix=aarch64-linux-gnu- --enable-shared --enable-linker-build-id --libexecdir=/usr/lib --without-included-gettext --enable-threads=posix --libdir=/usr/lib --enable-nls --enable-bootstrap --enable-clocale=gnu --enable-libstdcxx-debug --enable-libstdcxx-time=yes --with-default-libstdcxx-abi=new --enable-gnu-unique-object --disable-libquadmath --disable-libquadmath-support --enable-plugin --enable-default-pie --with-system-zlib --disable-libphobos --enable-multiarch --enable-fix-cortex-a53-843419 --disable-werror --enable-checking=release --build=aarch64-linux-gnu --host=aarch64-linux-gnu --target=aarch64-linux-gnuddrphy calibration doneThread modelDDRINFO: posixddrmix config donegcc version 8.3.0 (Debian 8.3.0-6)Normal Boot</pre>Trying to boot from MMC1

===STREAM==={| class="wikitable"|U-Boot 2018.03-08018-g59e59e6f85-dirty (Nov 29 2019 - 12:42:16 +Overall results (ARM core frequency = 800 MHz0100)! rowspan="2" |Function! colspan="2" |Mito8M! rowspan="2" |Axel Liteefficiency

[%]CPU: Freescale i.MX8MQ rev2.0 1300 MHz (running at 800 MHz)|CPU: Industrial temperature grade (-40C to 105C)CPU Temperature test bypass!Best rate!!!CPU Temperature = (41000C), alert = (85000C), critical = (95000C) at 41CReset cause: PORModel: DAVE iMX8MQ MitoDRAM: 3 GiBMMC: FSL_SDHC: 0, FSL_SDHC: 1Loading Environment from MMC... OK[MB/s]No panel detected: default to HDMI!EfficiencyDisplay: HDMI (1280x720)In: serialOut: serialErr: serial

[%] BuildInfo:| -ATF bac189b|Copy|6770|51 - U-Boot 2018.7|14.0|03-|Scale|6093|46.5|13.8|08018-|Add|5263|40.1|14.6|g59e59e6f85-|Triad|4820|36.8|14.9|}dirty

{| class="wikitable"|+switch to partitions #0, OKOverall results mmc0(ARM core frequency = 1300 MHzpart 0)is current deviceflash target is MMC:0Net: eth0: ethernet@30be0000Fastboot: NormalNormal Boot! rowspanu-boot="2" |Function> run net net_mmc net_mmc_args netargs netargs2 netboot netboot2 netmask! colspanu-boot="2" |Mito8M> run netboot! rowspan netboot netboot2u-boot="2" |Axel Lite> run netboot2efficiencyBooting from net ...Using ethernet@30be0000 device[%]TFTP from server 192.168.0.23; our IP address is 192.168.0.81|Filename 'mito/am/Image'.Load address: 0x40480000Loading: ################################################################# ################################################################# ################################################################# ################################################################# ################################################################# ################################################################# 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################################################################# ################################################################# ################################################################# ######################################## 1.6 MiB/sdoneBytes transferred = 23163392 (1617200 hex)Using ethernet@30be0000 deviceTFTP from server 192.168.0.23; our IP address is 192.168.0.81Filename 'mito/imx8mq-mito.dtb.gc'.!Best rateLoad address: 0x43000000[MBLoading: ####### 630.9 KiB/s]!EfficiencydoneBytes transferred = 34885 (8845 hex)## Flattened Device Tree blob at 43000000 Booting using the fdt blob at 0x43000000 Using Device Tree in place at 0000000043000000, end 000000004300b844

[%]|-|Copy|7125|54Starting kernel .3|14.0|-|Scale|7501|57.2|13.8|-|Add|6762|51.6|14.6|-|Triad|6354|48.5|14.9|}

Apart [ 0.000000] Booting Linux on physical CPU 0x0[ 0.000000] Linux version 4.14.98-imx_4.14.98_2.0.0_ga+g5d6cbeafb80c (oe-user@oe-host) (gcc version 7.3.0 (GCC)) #1 SMP PREEMPT Mon Jan 27 12:04:20 UTC 2020[ 0.000000] Boot CPU: AArch64 Processor [410fd034][ 0.000000] Machine model: DAVE iMX8MQ Mito[ 0.000000] earlycon: ec_imx6q0 at MMIO 0x0000000030860000 (options '115200')[ 0.000000] bootconsole [ec_imx6q0] enabled[ 0.000000] efi: Getting EFI parameters from FDT:[ 0.000000] efi: UEFI not found.[ 0.000000] Reserved memory: created CMA memory pool at 0x0000000044000000, size 960 MiB[ 0.000000] OF: reserved mem: initialized node linux,cma, compatible id shared-dma-pool[ 0.000000] NUMA: No NUMA configuration found[ 0.000000] NUMA: Faking a node at [mem 0x0000000000000000-0x00000000ffffffff][ 0.000000] NUMA: NODE_DATA [mem 0xfffc8600-0xfffca3ff][ 0.000000] Zone ranges:[ 0.000000] DMA [mem 0x0000000040000000-0x00000000ffffffff][ 0.000000] Normal empty[ 0.000000] Movable zone start for each node[ 0.000000] Early memory node ranges[ 0.000000] node 0: [mem 0x0000000040000000-0x00000000b7ffffff][ 0.000000] node 0: [mem 0x00000000b8400000-0x00000000ffffffff][ 0.000000] Initmem setup node 0 [mem 0x0000000040000000-0x00000000ffffffff][ 0.000000] psci: probing for conduit method from DT.[ 0.000000] psci: PSCIv1.0 detected in firmware.[ 0.000000] psci: Using standard PSCI v0.2 function IDs[ 0.000000] psci: MIGRATE_INFO_TYPE not supported.[ 0.000000] psci: SMC Calling Convention v1.0[ 0.000000] percpu: Embedded 24 pages/cpu @ffff8000bff63000 s57624 r8192 d32488 u98304[ 0.000000] Detected VIPT I-cache on CPU0[ 0.000000] CPU features: enabling workaround for ARM erratum 845719[ 0.000000] Built 1 zonelists, mobility grouping on. Total pages: 773120[ 0.000000] Policy zone: DMA[ 0.000000] Kernel command line: console=ttymxc0,115200 earlycon=ec_imx6q,0x30860000,115200 root=/dev/nfs ip=dhcp nfsroot=192.168.0.13:/opt/nfsroot/mito/fsl-image-qt5-imx8qmmek-20200128141054,v3,tcp ip=192.168.0.81:192.168.0.23:192.168.0.254:255.255.255.0:mito8m::off panic=1[ 0.000000] PID hash table entries: 4096 (order: 3, 32768 bytes)[ 0.000000] Memory: 2085660K/3141632K available (13564K kernel code, 1692K rwdata, 6052K rodata, 1280K init, 434K bss, 72932K reserved, 983040K cma-reserved)[ 0.000000] Virtual kernel memory layout:[ 0.000000] modules : 0xffff000000000000 - 0xffff000008000000 ( 128 MB)[ 0.000000] vmalloc : 0xffff000008000000 - 0xffff7dffbfff0000 (129022 GB)[ 0.000000] .text : 0xffff000008080000 - 0xffff000008dc0000 ( 13568 KB)[ 0.000000] .rodata : 0xffff000008dc0000 - 0xffff0000093b0000 ( 6080 KB)[ 0.000000] .init : 0xffff0000093b0000 - 0xffff0000094f0000 ( 1280 KB)[ 0.000000] .data : 0xffff0000094f0000 - 0xffff000009697200 ( 1693 KB)[ 0.000000] .bss : 0xffff000009697200 - 0xffff000009703b40 ( 435 KB)[ 0.000000] fixed : 0xffff7dfffe7f9000 - 0xffff7dfffec00000 ( 4124 KB)[ 0.000000] PCI I/O : 0xffff7dfffee00000 - 0xffff7dffffe00000 ( 16 MB)[ 0.000000] vmemmap : 0xffff7e0000000000 - 0xffff800000000000 ( 2048 GB maximum)[ 0.000000] 0xffff7e0000000000 - 0xffff7e0003000000 ( 48 MB actual)[ 0.000000] memory : 0xffff800000000000 - 0xffff8000c0000000 ( 3072 MB)[ 0.000000] SLUB: HWalign=64, Order=0-3, MinObjects=0, CPUs=4, Nodes=1[ 0.000000] Preemptible hierarchical RCU implementation.[ 0.000000] RCU restricting CPUs from the increase over Axel Lite NR_CPUS=64 to nr_cpu_ids=4.[ 0.000000] Tasks RCU enabled.[ 0.000000] RCU: Adjusting geometry for rcu_fanout_leaf=16, nr_cpu_ids=4[ 0.000000] NR_IRQS: 64, nr_irqs: 64, preallocated irqs: 0[ 0.000000] GICv3: GIC: Using split EOI/Deactivate mode[ 0.000000] GICv3: no VLPI support, no direct LPI support[ 0.000000] ITS: No ITS available, not enabling LPIs[ 0.000000] GICv3: CPU0: found redistributor 0 region 0:0x0000000038880000[ 0.000000] i.MX8MQ clock driver init done[ 0.000000] arch_timer: cp15 timer(s) running at 8.33MHz (phys).[ 0.000000] clocksource: arch_sys_counter: mask: 0xffffffffffffff max_cycles: 0x1ec0311ec, max_idle_ns: 440795202152 ns[ 0.000004] sched_clock: 56 bits at 8MHz, resolution 120ns, wraps every 2199023255541ns[ 0.008656] system counter timer init[ 0.011732] sched_clock: 56 bits at 8MHz, resolution 120ns, wraps every 2199023255541ns[ 0.019710] clocksource: imx sysctr: mask: 0xffffffffffffff max_cycles: 0x1ec0311ec, max_idle_ns: 440795202152 ns[ 0.030836] Console: colour dummy device 80x25[ 0.034493] Calibrating delay loop (skipped), value calculated using timer frequency.. 16.66 BogoMIPS (lpj=33333)[ 0.044748] pid_max: default: 32768 minimum: 301[ 0.049459] Security Framework initialized[ 0.054961] Dentry cache hash table entries: 524288 (order: 10, 4194304 bytes)[ 0.061441] Inode-cache hash table entries: 262144 (order: 9, 2097152 bytes)[ 0.067803] Mount-cache hash table entries: 8192 (order: 4, 65536 bytes)[ 0.074503] Mountpoint-cache hash table entries: 8192 (order: 4, 65536 bytes)[ 0.097709] ASID allocator initialised with 32768 entries[ 0.105714] Hierarchical SRCU implementation.[ 0.114137] Cannot find MU entry in absolute termsdevice tree[ 0.115935] CPU identified as i.MX8MQ, silicon rev 2.0[ 0.121703] EFI services will not be available.[ 0.133540] smp: Bringing up secondary CPUs ...[ 0.161692] Detected VIPT I-cache on CPU1[ 0.161722] GICv3: CPU1: found redistributor 1 region 0:0x00000000388a0000[ 0.161746] CPU1: Booted secondary processor [410fd034][ 0.189763] Detected VIPT I-cache on CPU2[ 0.189788] GICv3: CPU2: found redistributor 2 region 0:0x00000000388c0000[ 0.189807] CPU2: Booted secondary processor [410fd034][ 0.217844] Detected VIPT I-cache on CPU3[ 0.217865] GICv3: CPU3: found redistributor 3 region 0:0x00000000388e0000[ 0.217885] CPU3: Booted secondary processor [410fd034][ 0.218112] smp: Brought up 1 node, 4 CPUs[ 0.267770] SMP: Total of 4 processors activated.[ 0.272472] CPU features: detected feature: GIC system register CPU interface[ 0.279633] CPU features: detected feature: 32-bit EL0 Support[ 0.285465] CPU features: detected feature: Kernel page table isolation (KPTI)[ 0.323520] CPU: All CPU(s) started at EL2[ 0.324939] alternatives: patching kernel code[ 0.330690] devtmpfs: initialized[ 0.338531] random: get_random_u32 called from bucket_table_alloc+0x108/0x260 with crng_init=0[ 0.345299] clocksource: jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 7645041785100000 ns[ 0.354131] futex hash table entries: 1024 (order: 5, 131072 bytes)[ 0.392294] pinctrl core: initialized pinctrl subsystem[ 0.396289] DMI not present or invalid.[ 0.398917] NET: Registered protocol family 16[ 0.406653] cpuidle: using governor menu[ 0.408532] vdso: 2 pages (1 code @ ffff000008dc6000, 1 data @ ffff0000094f4000)[ 0.415185] hw-breakpoint: found 6 breakpoint and 4 watchpoint registers.[ 0.430216] DMA: preallocated 256 KiB pool for atomic allocations[ 0.434519] Serial: AMBA PL011 UART driver[ 0.437979] imx rpmsg driver is registered.[ 0.449258] imx8mq-pinctrl 30330000.iomuxc: initialized IMX pinctrl driver[ 0.489170] HugeTLB registered 2.00 MiB page size, pre-allocated 0 pages[ 0.504974] ACPI: Interpreter disabled.[ 0.508722] vgaarb: loaded[ 0.509302] SCSI subsystem initialized[ 0.513860] usbcore: registered new interface driver usbfs[ 0.518046] usbcore: registered new interface driver hub[ 0.523672] usbcore: registered new device driver usb[ 0.529781] i2c i2c-0: IMX I2C adapter registered[ 0.533067] i2c i2c-0: can't use DMA, using PIO instead.[ 0.538798] i2c i2c-1: IMX I2C adapter registered[ 0.543093] i2c i2c-1: can't use DMA, using PIO instead.[ 0.549748] media: Linux media interface: v0.10[ 0.553027] Linux video capture interface: v2.00[ 0.557910] pps_core: LinuxPPS API ver. 1 registered[ 0.562530] pps_core: Software ver. 5.3.6 - Copyright 2005-2007 Rodolfo Giometti <giometti@linux.it >[ 0.571704] PTP clock support registered[ 0.576001] EDAC MC: Ver: 3.0.0[ 0.579424] dmi: Firmware registration failed.[ 0.584089] Advanced Linux Sound Architecture Driver Initialized.[ 0.590075] Bluetooth: Core ver 2.22[ 0.592891] NET: Registered protocol family 31[ 0.597268] Bluetooth: HCI device and connection manager initialized[ 0.603693] Bluetooth: HCI socket layer initialized[ 0.608523] Bluetooth: L2CAP socket layer initialized[ 0.613648] Bluetooth: SCO socket layer initialized[ 0.620203] clocksource: Switched to clocksource arch_sys_counter[ 0.624932] VFS: Disk quotas dquot_6.6.0[ 0.628543] VFS: Dquot-cache hash table entries: 512 (order 0, 4096 bytes)[ 0.635615] pnp: PnP ACPI: disabled[ 0.655365] NET: Registered protocol family 2[ 0.657503] TCP established hash table entries: 32768 (order: 6, 262144 bytes)[ 0.664537] TCP bind hash table entries: 32768 (order: 7, 524288 bytes)[ 0.671312] TCP: Hash tables configured (established 32768 bind 32768)[ 0.677437] UDP hash table entries: 2048 (order: 4, 65536 bytes)[ 0.683424] UDP-Lite hash table entries: 2048 (order: 4, 65536 bytes)[ 0.690022] NET: Registered protocol family 1[ 0.695212] RPC: Registered named UNIX socket transport module.[ 0.700107] RPC: Registered udp transport module.[ 0.704762] RPC: Registered tcp transport module.[ 0.709522] RPC: Registered tcp NFSv4.1 backchannel transport module.[ 0.717562] hw perfevents: enabled with armv8_pmuv3 PMU driver, 7 counters available[ 0.724264] kvm [1]: 8-bit VMID[ 0.727864] kvm [1]: GICv3: no GICV resource entry[ 0.731616] kvm [1]: disabling GICv2 emulation[ 0.736180] kvm [1]: GIC system register CPU interface enabled[ 0.742333] kvm [1]: vgic interrupt IRQ1[ 0.746275] kvm [1]: Hyp mode initialized successfully[ 0.760506] audit: initializing netlink subsys (disabled)[ 0.763419] audit: type=2000 audit(0.667:1): state=initialized audit_enabled=0 res=1[ 0.764213] workingset: timestamp_bits=44 max_order=20 bucket_order=0[ 0.789094] squashfs: version 4.0 (2009/01/31) Phillip Lougher[ 0.793388] NFS: Registering the id_resolver key type[ 0.797228] Key type id_resolver registered[ 0.801475] Key type id_legacy registered[ 0.805417] nfs4filelayout_init: NFSv4 File Layout Driver Registering...[ 0.812082] jffs2: version 2.2. (NAND) c 2001-2006 Red Hat, Inc.[ 0.818839] 9p: Installing v9fs 9p2000 file system support[ 0.844550] Block layer SCSI generic (bsg) driver version 0.4 loaded (major 244)[ 0.849166] io scheduler noop registered[ 0.853281] io scheduler cfq registered (default)[ 0.857753] io scheduler mq-deadline registered[ 0.862343] io scheduler kyber registered[ 0.886845] imx-sdma 30bd0000.sdma: no iram assigned, using external mem[ 0.893540] imx-sdma 30bd0000.sdma: Falling back to user helper[ 0.900170] imx-sdma 302c0000.sdma: no iram assigned, using external mem[ 0.913192] mxs-dma 33000000.dma-apbh: initialized[ 0.917869] Bus freq driver module loaded[ 0.921005] Config NOC for VPU and CPU[ 0.922898] Config NOC for CPU fail![ 0.926488] Config NOC for VPU fail![ 0.933642] pfuze100-regulator 0-0008: Full layer: 2, Metal layer: 1[ 0.937511] pfuze100-regulator 0-0008: FAB: 0, FIN: 0[ 0.942284] pfuze100-regulator 0-0008: pfuze100 found.[ 0.966697] Serial: 8250/16550 driver, 4 ports, IRQ sharing enabled[ 0.973945] SuperH (H)SCI(F) driver initialized[ 0.976470] 30860000.serial: ttymxc0 at MMIO 0x30860000 (irq = 39, base_baud = 1562500) is noteworthy that Mito8M exhibits a significant improvement IMX[ 0.987330] console [ttymxc0] enabled[ 0.987330] console [ttymxc0] enabled[ 0.991806] bootconsole [ec_imx6q0] disabled[ 0.991806] bootconsole [ec_imx6q0] disabled[ 1.001611] msm_serial: driver initialized[ 1.023054] [drm] Supports vblank timestamp caching Rev 2 (21.10.2013).[ 1.029700] [drm] No driver support for vblank timestamp query.[ 1.035853] imx-drm display-subsystem: bound imx-dcss-crtc.0 (ops dcss_crtc_ops)[ 1.043474] [drm] CDN_API_General_Test_Echo_Ext_blocking - APB(ret = 0 echo_resp = echo test)[ 1.052075] [drm] CDN_API_General_getCurVersion - ver 13196 verlib 13062[ 1.058839] [drm] Pixel clock frequency: 594000 KHz, character clock frequency: 594000, color depth is 8-bit.[ 1.068834] [drm] Pixel clock frequency (594000 KHz) is supported in terms of efficiency toothis color depth (8-bit). Settings found in row 27[ 1.079633] [drm] VCO frequency is 5940000[ 1.083803] [drm] VCO frequency (5940000 KHz) is supported. Settings found in row 14[ 1.115567] [drm] CDN_API_General_Write_Register_blocking LANES_CONFIG ret = 0[ 1.122833] [drm] Failed to get HDCP config - using HDCP 2.2 only[ 1.129041] [drm] Failed to initialize HDCP[ 1.135032] [drm] hdmi-audio-codec driver bound to HDMI[ 1.140295] imx-drm display-subsystem: bound 32c00000.hdmi (ops imx_hdp_imx_ops)[ 1.147811] [drm] Cannot find any crtc or sizes[ 1.152959] [drm] Initialized imx-drm 1.0.0 20120507 for display-subsystem on minor 0[ 1.170120] loop: module loaded[ 1.178774] slram: not enough parameters.[ 1.187134] libphy: Fixed MDIO Bus: probed[ 1.192461] NXP PHY: loading NXP PHY driver: [autonomous mode][ 1.198794] tun: Universal TUN/TAP device driver, 1.6[ 1.204262] CAN device driver interface[ 1.210375] fec 30be0000.ethernet: 30be0000.ethernet supply phy not found, using dummy regulator[ 1.219788] pps pps0: new PPS source ptp0[ 1.230554] libphy: fec_enet_mii_bus: probed[ 1.236454] fec 30be0000.ethernet eth0: registered PHC device 0[ 1.243352] e1000e: Intel(R) PRO/1000 Network Driver - 3.2.6-k[ 1.249259] e1000e: Copyright(c) 1999 - 2015 Intel Corporation.[ 1.255310] igb: Intel(R) Gigabit Ethernet Network Driver - version 5.4.0-k[ 1.262344] igb: Copyright (c) 2007-2014 Intel Corporation.[ 1.268032] igbvf: Intel(R) Gigabit Virtual Function Network Driver - version 2.4.0-k[ 1.275933] igbvf: Copyright (c) 2009 - 2012 Intel Corporation.[ 1.282517] sky2: driver version 1.30[ 1.314452] ehci_hcd: USB 2.0 'Enhanced' Host Controller (EHCI) Driver[ 1.321069] ehci-pci: EHCI PCI platform driver[ 1.325634] ehci-platform: EHCI generic platform driver[ 1.331148] ehci-orion: EHCI orion driver[ 1.335363] ehci-exynos: EHCI EXYNOS driver[ 1.339802] ehci-msm: Qualcomm On-Chip EHCI Host Controller[ 1.345595] ohci_hcd: USB 1.1 'Open' Host Controller (OHCI) Driver[ 1.351863] ohci-pci: OHCI PCI platform driver[ 1.356424] ohci-platform: OHCI generic platform driver[ 1.361924] ohci-exynos: OHCI EXYNOS driver[ 1.366715] Can't support > 32 bit dma.[ 1.370613] xhci-hcd xhci-hcd.0.auto: xHCI Host Controller[ 1.376136] xhci-hcd xhci-hcd.0.auto: new USB bus registered, assigned bus number 1[ 1.391706] xhci-hcd xhci-hcd.0.auto: hcc params 0x0220fe6c hci version 0x110 quirks 0x0000000001010810[ 1.401187] xhci-hcd xhci-hcd.0.auto: irq 218, io mem 0x38200000[ 1.408109] hub 1-0:1.0: USB hub found[ 1.411913] hub 1-0:1.0: 1 port detected[ 1.416291] xhci-hcd xhci-hcd.0.auto: xHCI Host Controller[ 1.421810] xhci-hcd xhci-hcd.0.auto: new USB bus registered, assigned bus number 2[ 1.429495] xhci-hcd xhci-hcd.0.auto: Host supports USB 3.0 SuperSpeed[ 1.436926] hub 2-0:1.0: USB hub found[ 1.440722] hub 2-0:1.0: 1 port detected[ 1.445705] usbcore: registered new interface driver usb-storage[ 1.451845] usbcore: registered new interface driver usb_ehset_test[ 1.461476] input: 30370000.snvs:snvs-powerkey as /devices/platform/30370000.snvs/30370000.snvs:snvs-powerkey/input/input0[ 1.475832] snvs_rtc 30370000.snvs:snvs-rtc-lp: rtc core: registered 30370000.snvs:snvs-rtc-lp as shown rtc0[ 1.485921] i2c /dev entries driver[ 1.492721] IR NEC protocol handler initialized[ 1.497328] IR RC5(x/sz) protocol handler initialized[ 1.502396] IR RC6 protocol handler initialized[ 1.506997] IR JVC protocol handler initialized[ 1.511544] IR Sony protocol handler initialized[ 1.516318] IR SANYO protocol handler initialized[ 1.521040] IR Sharp protocol handler initialized[ 1.525762] IR MCE Keyboard/mouse protocol handler initialized[ 1.531613] IR XMP protocol handler initialized[ 1.543065] imx2-wdt 30280000.wdog: timeout 60 sec (nowayout=0)[ 1.550102] Bluetooth: HCI UART driver ver 2.3[ 1.554625] Bluetooth: HCI UART protocol H4 registered[ 1.559780] Bluetooth: HCI UART protocol BCSP registered[ 1.565164] Bluetooth: HCI UART protocol ATH3K registered[ 1.570579] Bluetooth: HCI UART protocol Three-wire (H5) registered[ 1.577187] Bluetooth: HCI UART protocol Broadcom registered[ 1.582864] Bluetooth: HCI UART protocol QCA registered[ 1.590175] sdhci: Secure Digital Host Controller Interface driver[ 1.596434] sdhci: Copyright(c) Pierre Ossman[ 1.601112] Synopsys Designware Multimedia Card Interface Driver[ 1.608570] sdhci-pltfm: SDHCI platform and OF driver helper[ 1.660852] mmc0: SDHCI controller on 30b40000.usdhc [30b40000.usdhc] using ADMA[ 1.674072] sdhci-esdhc-imx 30b50000.usdhc: Got CD GPIO[ 1.726998] mmc1: SDHCI controller on 30b50000.usdhc [30b50000.usdhc] using ADMA[ 1.740917] ledtrig-cpu: registered to indicate activity on CPUs[ 1.742552] mmc0: new DDR MMC card at address 0001[ 1.748035] caam 30900000.caam: ERA source: CCBVID.[ 1.752594] mmcblk0: mmc0:0001 DG4008 7.28 GiB[ 1.760033] caam 30900000.caam: device ID = 0x0a16040100000000 (Era 9)[ 1.761722] mmcblk0boot0: mmc0:0001 DG4008 partition 1 4.00 MiB[ 1.767850] caam 30900000.caam: job rings = 3, qi = 0, dpaa2 = no[ 1.774122] mmcblk0boot1: mmc0:0001 DG4008 partition 2 4.00 MiB[ 1.786208] mmcblk0rpmb: mmc0:0001 DG4008 partition 3 4.00 MiB[ 1.793649] mmcblk0: p1[ 1.799583] caam_jr 30901000.jr0: Entropy delay = 3200[ 1.804877] caam_jr 30901000.jr0: Entropy delay = 3600[ 1.878237] caam_jr 30901000.jr0: Instantiated RNG4 SH0.[ 1.945894] caam_jr 30901000.jr0: Instantiated RNG4 SH1.[ 1.989342] caam algorithms registered in /proc/crypto[ 2.000029] caam_jr 30901000.jr0: registering rng-caam[ 2.005651] caam 30900000.caam: caam pkc algorithms registered in /proc/crypto[ 2.014636] platform caam_sm: blkkey_ex: 2 keystore units available[ 2.021096] platform caam_sm: 64-bit clear key:[ 2.025663] platform caam_sm: [0000] 00 01 02 03 04 0f 06 07[ 2.031398] platform caam_sm: 64-bit black key:[ 2.035964] platform caam_sm: [0000] 03 e2 c1 71 99 ca 13 85[ 2.041701] platform caam_sm: [0008] 9f e6 33 9c e7 a7 30 02[ 2.047378] platform caam_sm: 128-bit clear key:[ 2.052070] platform caam_sm: [0000] 00 01 02 03 04 0f 06 07[ 2.057751] platform caam_sm: [0008] 08 09 0a 0b 0c 0d 0e 0f[ 2.063483] platform caam_sm: 128-bit black key:[ 2.068124] platform caam_sm: [0000] ea a7 79 b2 b9 2c 4a f3[ 2.073863] platform caam_sm: [0008] 79 44 95 2a 2e 40 e6 ff[ 2.079537] platform caam_sm: 192-bit clear key:[ 2.084176] platform caam_sm: [0000] 00 01 02 03 04 0f 06 07[ 2.089857] platform caam_sm: [0008] 08 09 0a 0b 0c 0d 0e 0f[ 2.095535] platform caam_sm: [0016] 10 11 12 13 14 15 16 17[ 2.101216] platform caam_sm: 192-bit black key:[ 2.105853] platform caam_sm: [0000] 9d fe 2e 76 90 b6 10 d5[ 2.111532] platform caam_sm: [0008] ed 7d 78 95 4c 74 3a 28[ 2.117211] platform caam_sm: [0016] 49 5f ee ff 85 08 1d 22[ 2.122890] platform caam_sm: [0024] ea 6c 81 39 10 78 04 17[ 2.128565] platform caam_sm: 256-bit clear key:[ 2.133204] platform caam_sm: [0000] 00 01 02 03 04 0f 06 07[ 2.138889] platform caam_sm: [0008] 08 09 0a 0b 0c 0d 0e 0f[ 2.144569] platform caam_sm: [0016] 10 11 12 13 14 15 16 17[ 2.150251] platform caam_sm: [0024] 18 19 1a 1b 1c 1d 1e 1f[ 2.155925] platform caam_sm: 256-bit black key:[ 2.160563] platform caam_sm: [0000] d6 f4 35 e1 43 34 01 56[ 2.166244] platform caam_sm: [0008] 55 47 df 0e b0 4e ed e2[ 2.172057] [drm] Cannot find any crtc or sizes[ 2.172626] platform caam_sm: [0016] bf 26 de aa 17 fe ff 7a[ 2.182401] platform caam_sm: [0024] 14 08 a0 2a 79 fc bd ee[ 2.188136] platform caam_sm: 64-bit unwritten blob:[ 2.193129] platform caam_sm: [0000] 00 00 00 00 00 00 00 00[ 2.198870] platform caam_sm: [0008] 00 00 00 00 00 00 00 00[ 2.204550] platform caam_sm: [0016] 00 00 00 00 00 00 00 00[ 2.210286] platform caam_sm: [0024] 00 00 00 00 00 00 00 00[ 2.215966] platform caam_sm: [0032] 00 00 00 00 00 00 00 00[ 2.221703] platform caam_sm: [0040] 00 00 00 00 00 00 00 00[ 2.227382] platform caam_sm: [0048] 00 00 00 00 00 00 00 00[ 2.233060] platform caam_sm: [0056] 00 00 00 00 00 00 00 00[ 2.238742] platform caam_sm: [0064] 00 00 00 00 00 00 00 00[ 2.244420] platform caam_sm: [0072] 00 00 00 00 00 00 00 00[ 2.250100] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.255780] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2.261454] platform caam_sm: 128-bit unwritten blob:[ 2.266526] platform caam_sm: [0000] 00 00 00 00 00 00 00 00[ 2.272212] platform caam_sm: [0008] 00 00 00 00 00 00 00 00[ 2.277890] platform caam_sm: [0016] 00 00 00 00 00 00 00 00[ 2.283569] platform caam_sm: [0024] 00 00 00 00 00 00 00 00[ 2.289251] platform caam_sm: [0032] 00 00 00 00 00 00 00 00[ 2.294929] platform caam_sm: [0040] 00 00 00 00 00 00 00 00[ 2.300608] platform caam_sm: [0048] 00 00 00 00 00 00 00 00[ 2.306290] platform caam_sm: [0056] 00 00 00 00 00 00 00 00[ 2.311970] platform caam_sm: [0064] 00 00 00 00 00 00 00 00[ 2.317650] platform caam_sm: [0072] 00 00 00 00 00 00 00 00[ 2.323331] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.329009] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2.334688] platform caam_sm: 196-bit unwritten blob:[ 2.339762] platform caam_sm: [0000] 00 00 00 00 00 00 00 00[ 2.345440] platform caam_sm: [0008] 00 00 00 00 00 00 00 00[ 2.351119] platform caam_sm: [0016] 00 00 00 00 00 00 00 00[ 2.356801] platform caam_sm: [0024] 00 00 00 00 00 00 00 00[ 2.362478] platform caam_sm: [0032] 00 00 00 00 00 00 00 00[ 2.368158] platform caam_sm: [0040] 00 00 00 00 00 00 00 00[ 2.373836] platform caam_sm: [0048] 00 00 00 00 00 00 00 00[ 2.379515] platform caam_sm: [0056] 00 00 00 00 00 00 00 00[ 2.385196] platform caam_sm: [0064] 00 00 00 00 00 00 00 00[ 2.390876] platform caam_sm: [0072] 00 00 00 00 00 00 00 00[ 2.396557] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.402235] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2.407911] platform caam_sm: 256-bit unwritten blob:[ 2.412982] platform caam_sm: [0000] 00 00 00 00 00 00 00 00[ 2.418661] platform caam_sm: [0008] 00 00 00 00 00 00 00 00[ 2.424340] platform caam_sm: [0016] 00 00 00 00 00 00 00 00[ 2.430022] platform caam_sm: [0024] 00 00 00 00 00 00 00 00[ 2.435699] platform caam_sm: [0032] 00 00 00 00 00 00 00 00[ 2.441378] platform caam_sm: [0040] 00 00 00 00 00 00 00 00[ 2.447059] platform caam_sm: [0048] 00 00 00 00 00 00 00 00[ 2.452742] platform caam_sm: [0056] 00 00 00 00 00 00 00 00[ 2.458424] platform caam_sm: [0064] 00 00 00 00 00 00 00 00[ 2.464105] platform caam_sm: [0072] 00 00 00 00 00 00 00 00[ 2.469783] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.475462] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2.481818] platform caam_sm: 64-bit black key in blob:[ 2.487077] platform caam_sm: [0000] ef 05 e7 8a 74 5a b8 6e[ 2.492764] platform caam_sm: [0008] 56 ef c7 aa 2d 35 cf 31[ 2.498444] platform caam_sm: [0016] 7e f4 e8 d9 dc 3e 87 de[ 2.504123] platform caam_sm: [0024] 46 51 be 09 26 dd b3 af[ 2.509802] platform caam_sm: [0032] f0 a7 e6 69 0b c7 a6 fa[ 2.515482] platform caam_sm: [0040] 58 d7 67 ee be 3c 88 07[ 2.521161] platform caam_sm: [0048] 84 e8 47 cb d0 fd 53 48[ 2.526840] platform caam_sm: [0056] 00 00 00 00 00 00 00 00[ 2.532520] platform caam_sm: [0064] 00 00 00 00 00 00 00 00[ 2.538201] platform caam_sm: [0072] 00 00 00 00 00 00 00 00[ 2.543878] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.549559] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2.555237] platform caam_sm: 128-bit black key in blob:[ 2.560571] platform caam_sm: [0000] 1e 8a 9c 18 e7 06 53 3a[ 2.566249] platform caam_sm: [0008] f9 e8 30 40 db 4a 0c d3[ 2.571931] platform caam_sm: [0016] 3f 6a 54 e7 60 91 b6 7a[ 2.577609] platform caam_sm: [0024] 79 b3 11 8a 82 64 50 f6[ 2.583289] platform caam_sm: [0032] f0 4e a2 c6 b1 47 43 85[ 2.588971] platform caam_sm: [0040] 29 e2 6b f0 e0 d1 7b c4[ 2.594649] platform caam_sm: [0048] 17 a8 f3 ff f6 b9 17 3f[ 2.600329] platform caam_sm: [0056] a2 f9 62 83 bc cb 53 20[ 2.606011] platform caam_sm: [0064] 00 00 00 00 00 00 00 00[ 2.611688] platform caam_sm: [0072] 00 00 00 00 00 00 00 00[ 2.617368] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.623048] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2.628724] platform caam_sm: 192-bit black key in the above tablesblob:[ 2.634056] platform caam_sm: [0000] 94 00 30 0b 3f f5 7b a6[ 2.639736] platform caam_sm: [0008] b8 78 bc 38 27 e5 e6 f3[ 2.645416] platform caam_sm: [0016] cc 83 f6 6d 12 b9 ec 14[ 2.651094] platform caam_sm: [0024] 42 58 83 bc 46 5c 68 38[ 2.656773] platform caam_sm: [0032] ef 1c 6c a4 4c ca 00 f2[ 2.662454] platform caam_sm: [0040] 9b 2a bb 9b e6 84 60 54[ 2.668132] platform caam_sm: [0048] 5a d4 db 19 9e cc d1 96[ 2.673812] platform caam_sm: [0056] be 98 02 8b 8a c0 20 22[ 2.679495] platform caam_sm: [0064] ad 58 c4 5f bd 92 20 bb[ 2.685174] platform caam_sm: [0072] 00 00 00 00 00 00 00 00[ 2.690853] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.696534] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2. This is especially true 702211] platform caam_sm: 256-bit black key in the case blob:[ 2.707544] platform caam_sm: [0000] 27 f0 f1 53 0e 53 7d 06[ 2.713225] platform caam_sm: [0008] 80 55 fd 1e 8e da 7a 9f[ 2.718904] platform caam_sm: [0016] f8 1e 03 91 75 4a 44 60[ 2.724583] platform caam_sm: [0024] 2c 1f 55 67 95 69 4c 17[ 2.730264] platform caam_sm: [0032] 0a 7d a4 3c f4 75 fa 7a[ 2.735941] platform caam_sm: [0040] fa 19 8e c2 47 31 2c b0[ 2.741621] platform caam_sm: [0048] 16 97 c2 26 95 3e fa 74[ 2.747299] platform caam_sm: [0056] b6 e3 c2 e3 75 34 75 aa[ 2.752986] platform caam_sm: [0064] b5 65 7a 40 19 52 ca 0e[ 2.758666] platform caam_sm: [0072] b7 7b 71 6a d4 ab 7c 74[ 2.764345] platform caam_sm: [0080] 00 00 00 00 00 00 00 00[ 2.770027] platform caam_sm: [0088] 00 00 00 00 00 00 00 00[ 2.775863] platform caam_sm: restored 64-bit black key:[ 2.781201] platform caam_sm: [0000] e5 93 b9 cf 30 e9 f0 6d[ 2.786883] platform caam_sm: [0008] f1 5d b0 7d 4e 81 03 30[ 2.792558] platform caam_sm: restored 128-bit black key:[ 2.797977] platform caam_sm: [0000] ea a7 79 b2 b9 2c 4a f3[ 2.803658] platform caam_sm: [0008] 79 44 95 2a 2e 40 e6 ff[ 2.809336] platform caam_sm: restored 192-bit black key:[ 2.814753] platform caam_sm: [0000] 9d fe 2e 76 90 b6 10 d5[ 2.820435] platform caam_sm: [0008] ed 7d 78 95 4c 74 3a 28[ 2.826113] platform caam_sm: [0016] a0 92 6d 74 00 f3 54 88[ 2.831792] platform caam_sm: [0024] 93 29 44 40 fa 4f 07 e5[ 2.837470] platform caam_sm: restored 256-bit black key:[ 2.842888] platform caam_sm: [0000] d6 f4 35 e1 43 34 01 56[ 2.848567] platform caam_sm: [0008] 55 47 df 0e b0 4e ed e2[ 2.854249] platform caam_sm: [0016] bf 26 de aa 17 fe ff 7a[ 2.859927] platform caam_sm: [0024] 14 08 a0 2a 79 fc bd ee[ 2.866015] caam-snvs 30370000.caam-snvs: can't get snvs clock[ 2.871918] caam-snvs 30370000.caam-snvs: violation handlers armed - non-secure state[ 2.882486] usbcore: registered new interface driver usbhid[ 2.888116] usbhid: USB HID core driver[ 2.908375] imx-spdif sound-hdmi-arc: ASoC: CPU DAI (null) not registered[ 2.915249] imx-spdif sound-hdmi-arc: snd_soc_register_card failed: -517[ 2.923789] imx-cdnhdmi sound-hdmi: failed to find SAI platform device[ 2.930382] imx-cdnhdmi: probe of ARM sound-hdmi failed with error -22[ 2.937617] NET: Registered protocol family 26[ 2.943154] NET: Registered protocol family 10[ 3.258694] Segment Routing with IPv6[ 3.262494] NET: Registered protocol family 17[ 3.267002] can: controller area network core frequency set (rev 20170425 abi 9)[ 3.273336] NET: Registered protocol family 29[ 3.277833] can: raw protocol (rev 20170425)[ 3.282156] can: broadcast manager protocol (rev 20170425 t)[ 3.287873] can: netlink gateway (rev 20170425) max_hops=1[ 3.294783] Bluetooth: RFCOMM TTY layer initialized[ 3.299733] Bluetooth: RFCOMM socket layer initialized[ 3.304962] Bluetooth: RFCOMM ver 1.11[ 3.308771] Bluetooth: BNEP (Ethernet Emulation) ver 1.3[ 3.314134] Bluetooth: BNEP filters: protocol multicast[ 3.319479] Bluetooth: BNEP socket layer initialized[ 3.324495] Bluetooth: HIDP (Human Interface Emulation) ver 1.2[ 3.330530] Bluetooth: HIDP socket layer initialized[ 3.335632] lib80211: common routines for IEEE802.11 drivers[ 3.341485] 9pnet: Installing 9P2000 support[ 3.345961] Key type dns_resolver registered[ 3.355815] registered taskstats version 1[ 3.378439] cpu cpu0: registered imx8mq-cpufreq[ 3.388771] update hantro voltage from 900 mV to 1000 mV[ 3.395538] hantrodec: module inserted. Major = 236[ 3.402002] imx-spdif sound-hdmi-arc: ASoC: CPU DAI (null) not registered[ 3.408869] imx-spdif sound-hdmi-arc: snd_soc_register_card failed: -517[ 3.417380] snvs_rtc 30370000.snvs:snvs-rtc-lp: setting system clock to 1300 MHz1970-01-01 00:00:01 UTC (1)[ 3.506466] Micrel KSZ9031 Gigabit PHY 30be0000.ethernet-1:07: attached PHY driver [Micrel KSZ9031 Gigabit PHY] (mii_bus:phy_addr=30be0000.ethernet-1:07, irq=POLL)[ 3.521850] IPv6: ADDRCONF(NETDEV_UP): eth0: link is not ready[ 4.472725] random: fast init done[ 10.682280] fec 30be0000.ethernet eth0: Link is Up - 100Mbps/Full - flow control rx/tx[ 10.690283] IPv6: ADDRCONF(NETDEV_CHANGE): eth0: link becomes ready[ 10.700241] IP-Config: Complete:[ 10.703475] device=eth0, hwaddr=00:50:c2:1e:af:b2, ipaddr=192.168.0.81, mask=255.255.255.0, gw=192.168.0.254[ 10.713748] host=mito8m, domain=, nis-domain=(none)[ 10.719133] bootserver=192.168.0.23, rootserver=192.168.0.13, rootpath=[ 10.726754] usb_pwr_en: disabling[ 10.730206] gpio_dvfs: disabling[ 10.734306] SW1AB: disabling[ 10.737561] VGEN1: disabling[ 10.740800] VGEN6: disabling[ 10.743962] ALSA device list:[ 10.747000] No soundcards found.[ 10.789860] VFS: Mounted root (nfs filesystem) readonly on device 0:16.[ 10.808004] devtmpfs: mounted[ 10.811610] Freeing unused kernel memory: 1280K[ 11.748880] systemd[1]: System time before build time, advancing clock.[ 11.872936] systemd[1]: systemd 237 running in system mode. (+PAM -AUDIT -SELINUX +IMA -APPARMOR +SMACK +SYSVINIT +UTMP -LIBCRYPTSETUP -GCRYPT -GNUTLS +ACL +XZ -LZ4 -SECCOMP +BLKID -ELFUTILS +KMOD -IDN2 -IDN -PCRE2 default-hierarchy=hybrid)[ 11.894735] systemd[1]: Detected architecture arm64.

Another interesting thing Welcome to note is how the bandwidth is affected by the ARM core frequency. If it scaled linearly, we should have an improvement of 62.5% from 800 to 1300 MHz. The average bandwidth at 800 MHz is 5761 MB/s. At 1300 MHz, it is 6935 MB/s. Therefore, the increase is 20NXP i.MX Release Distro 4%. With regard to STREAM benchmark, the achieved bandwidth does not scale linearly with ARM core frequency.14-sumo (sumo)!

Please see [https 11.991204] systemd[1]: Set hostname to <imx8qmmek>.[ 12.554448] systemd[1]: File /lib/systemd/system/systemd-journald.service:35 configures an IP firewall (IPAddressDeny=any), but the local system does not support BPF/cgroup based firewalling.[ 12.571573] systemd[1]: Proceeding WITHOUT firewalling in effect! (This warning is only shown for the first loaded unit using IP firewalling.)[ 13.771788] random: systemd: uninitialized urandom read (16 bytes read)[ 13.778731] systemd[1]: Reached target Host and Network Name Lookups.[ OK ] Reached target Host and Network Name Lookups.[ 13.804841] random: systemd: uninitialized urandom read (16 bytes read)[ 13.811761] systemd[1]: Started Forward Password Requests to Wall Directory Watch.[ OK ] Started Forward Password Requests to Wall Directory Watch.[ 13.836506] random: systemd: uninitialized urandom read (16 bytes read)[ 13.843235] systemd[1]: Reached target Swap.[ OK ] Reached target Swap.[ 13.862631] systemd[1]:Created slice User and Session Slice.[ OK ] Created slice User and Session Slice.[ 13.884488] systemd[1]: Started Dispatch Password Requests to Console Directory Watch.[ OK ] Started Dispatch Password Requests to Console Directory Watch.[ OK ] Reached target Paths.[ OK ] Reached target Remote File Systems.[ OK ] Created slice System Slice.[ OK ] Listening on Journal Socket. Starting Load Kernel Modules... Mounting Huge Pages File System...[ OK ] Listening on Journal Socket (/dev/log).[ OK ] Reached target Slices. Mounting Kernel Debug File System...[ OK ] Listening on udev Kernel Socket. Starting Create list of required stcce nodes for the current kernel...[ OK ] Listening on Network Service Netlink Socket.[ OK ] Created slice system-getty.slice.[ OK ] Created slice system-serial\x2dgetty.slice.[ OK ] Listening on Syslog Socket.[ OK ] Listening on /dev/wwwinitctl Compatibility Named Pipe. Starting File System Check on Root Device... Mounting POSIX Message Queue File System.cs.virginia.edu[ OK ] Listening on Journal Audit Socket.[ 14.260846] galcore: loading out-of-tree module taints kernel. Starting Journal Service...[ 14.272872] galcore: clk_get 2d core clock failed, disable 2d/streamvg![ 14.279447] Galcore version 6.2.4.190076 Starting Setup Virtual Console...[ OK ] Listening on udev Control Socket. Starting udev Coldplug all Devices... Mounting Temporary Directory (/ this pagetmp)...[ OK ] Mounted Huge Pages File System.[ OK ] Mounted Kernel Debug File System.[ 14.389172] imx-spdif sound-hdmi-arc: ASoC: CPU DAI (null) not registered[ 14.396336] imx-spdif sound-hdmi-arc: snd_soc_register_card failed: -517[ OK ] Started Load Kernel Modules.[ OK ] Started Create list of required stacvice nodes for the current kernel.[ OK ] Started Journal Service.[ OK ] Started File System Check on Root Device.[ OK ] Mounted POSIX Message Queue File System.[ OK ] Started Setup Virtual Console.[ OK ] Mounted Temporary Directory (/tmp). Starting Remount Root and Kernel File Systems... Starting Apply Kernel Variables... Mounting Kernel Configuration File System...[ OK ] Mounted Kernel Configuration File System.[ OK ] Started Remount Root and Kernel File Systems. Starting Flush Journal to Persistent Storage... Starting Create Static Device Nodes in /dev...[ OK ] Started Apply Kernel Variables.[ 14.710512] systemd-journald[1962]: Received request to flush runtime journal from PID 1[ OK ] Started Flush Journal to Persistent Storage.[ OK ] Started udev Coldplug all Devices.[ OK ] Started Create Static Device Nodes in /dev. Starting udev Kernel Device Manager...[ OK ] Reached target Local File Systems (Pre).[ OK ] Reached target Containers. Mounting /var/volatile...[ OK ] Mounted /var/volatile. Starting Load/Save Random Seed...[ OK ] Reached target Local File Systems. Starting Create Volatile Files and Directories...[ OK ] Started Load/Save Random Seed.[ OK ] Started udev Kernel Device Manager.[ OK ] Started Create Volatile Files and Directories. Starting Update UTMP about System Boot/Shutdown... Starting Network Time Synchronization... Starting Start Psplash Boot Screen... Starting Network Service...[ OK ] Started Update UTMP about System Boot/Shutdown.[ OK ] Found device /dev/ttymxc0.[ OK ] Started Start Psplash Boot Screen.[ 15.859957] imx-sdma 302c0000.sdma: loaded firmware 4.4[ 15.861128] imx-sdma 30bd0000.sdma: loaded firmware 4.4[ OK ] Started Network Service.[ OK ] Started Network Time Synchronization.[ OK ] Reached target System Time Synchronized.[ OK ] Reached target System Initialization.[ OK ] Started Daily Cleanup of Temporary Directories. Starting Console System Startup Logging... Starting sshd.socket.[ OK ] Listening on RPCbind Server Activation Socket.[ OK ] Listening on D-Bus System Message Bus Socket.[ OK ] Started Daily rotation of log files.[ OK ] Reached target Timers.[ OK ] Listening on Avahi mDNS/DNS-SD Stack Activation Socket.[ OK ] Listening on sshd.socket.[ OK ] Started Console System Startup Logging.[ OK ] Reached target Sockets.[ OK ] Reached target Basic System. Starting Telephony service...[ OK ] Started Updates psplash to basic. Starting Network Time Service (one-shot ntpdate mode)... Starting Generate options for connection service...[ OK ] Started TEE Supplicant.[ OK ] Started Periodic Command Scheduler.[ OK ] Started Configuration for i.MX GPU (Former rc_gpu.S). Starting Avahi mDNS/DNS-SD Stack...[ OK ] Started D-Bus System Message Bus. Starting System Logging Service...[ OK ] Started Job spooling tools. Starting RPC Bind Service... Starting Login Service...[ OK ] Started Network Time Service (one-shot ntpdate mode).[ OK ] Started Generate options for connection service.[ OK ] Started Telephony service.[ OK ] Started Avahi mDNS/DNS-SD Stack. Starting Connection service...[ OK ] Started Login Service.[ OK ] Started RPC Bind Service.[ OK ] Started Connection service.[ OK ] Reached target Network.[ OK ] Started Update psplash to network. Starting Terminate Psplash Boot Screen...[ OK ] Started NFS status monitor for NFSv2/3 locking.. Starting /etc/rc.local Compatibility... Starting Permit User Sessions... Starting Network Time Service...[FAILED] Failed to start Terminate Psplash Boot Screen.See 'systemctl status psplash-quit.service' for more details about STREAM benchmark.[ OK ] Started /etc/rc.local Compatibility.[ OK ] Started Permit User Sessions. Starting Weston Wayland Compositor (on tty7)...[ OK ] Started Serial Getty on ttymxc0.[ OK ] Started Getty on tty1.[ OK ] Started Weston Wayland Compositor (on tty7). Starting Hostname Service... Starting WPA supplicant...[ OK ] Started Hostname Service.[ 19.232294] random: crng init done[ 19.235712] random: 7 urandom warning(s) missed due to ratelimiting[ OK ] Started WPA supplicant.[ OK ] Created slice User Slice of root. Starting User Manager for UID 0...[ OK ] Started Session c1 of user root.[ 19.580727] audit: type=1006 audit(1580232451.743:2): pid=3424 uid=0 old-auid=4294967295 auid=0 tty=(none) old-ses=4294967295 ses=1 res=1[ OK ] Started User Manager for UID 0.

===LMbench===For what regards the memory bandwidth, LMbench provides many results organized in different categoriesNXP i. For the sake of simplicity, the following tables details just a couple of categoriesMX Release Distro 4. The full results are available for download [http://mirror.dave.eu/mito/Mito8M/lmbench-Mito8M.0-800MHz.txt here (ARM core frequency set to 800 MHz)] and [http://mirror.dave.eu/mito/Mito8M/lmbench-Mito8M.014-1300MHz.txt here (ARM core frequency set to 1300 MHz)].sumo imx8qmmek ttymxc0

{| class="wikitable"imx8qmmek login:|+Memory read bandwidth! rowspan="2" |Buffer size! colspan="2" |Bandwitdth[MB</s]|-!ARM core frequency = 800 MHz!ARM core frequency = 1300 MHz|-|512B|1553|2521|-|1kB|1567|2546|-|2kB|1575|2560|-|4kB|1575|2564|-|8kB|1577|2564|-|16kB|1577|2567|-|32kB|1528|2490|-| 0.065536 |64kB|1531|2494|-|128kB|1547|2530|-|256kB|1552|2526|-|512kB|1514|2518|-|1MB|1318|2181|-|2MB|1430|2148|-|4MB|1420|2108|-|8MB|1423|2038|-|16MB|1420|2116|-|32MB|1365|2117|-|64MB|1393|2035|-|128MB|1382|2035|-|256MB|1372|2050|-|512MB|1367|1998|}pre>

{| class="wikitable"|+Memory write bandwidth! rowspan="2" |Buffer size! colspan="2" |Bandwitdth[MB/s]|-!ARM core frequency Running TensorFlow and TensorFlow Lite examples= 800 MHz!ARM core frequency = 1300 MHz|To verify that the root file system was generated properly, a couple of ready-|512B|2932|4771|to-|1kB|3048|4956|use examples were run. Again, to execute them, please follow the procedure described in [https://www.nxp.com/docs/en/nxp/user-|2kB|3100|5046|-|4kB|3136|5097|-|8kB|3135|5101|-|16kB|3150|5120|-|32kB|2864|5127|-|64kB|3033|5071|-|128kB|3093|4886|-|256kB|2956|5056|-|512kB|3024|5054|-|1MB|3075|5092|-|2MB|3095|5116|-|4MB|3121|5118|-|8MB|3137|5120|-|16MB|3145|5121|-|32MB|3146|5120|-|64MB|3146|5125|-|128MB|3147|5123|-|256MB|3150|5124|-|512MB|3144|5125|-|1GB|3146|5124|}guides/UM11226.pdf UM11226].

There are some interesting facts to stressThe first example makes use of TensorFlow:<pre class="board-terminal">root@imx8qmmek:~/devel/tensorflow# ls -latotal 101424drwxr-xr-x 2 root root 4096 Jan 30 2020 .drwxr-xr-x 4 root root 4096 Jan 28 16:23 ..-r--r----- 1 root root 11416 Nov 18 2015 LICENSE-r--r----- 1 root root 10492 Nov 18 2015 imagenet_comp_graph_label_strings.txt-rw-r--r-- 1 root root 49937555 Nov 18 2015 inception5h.zip-rw-r----- 1 root root 53884595 Nov 18 2015 tensorflow_inception_graph.pbroot@imx8qmmek:~/devel/tensorflow# /usr/bin/tensorflow-1.12.0/examples/benchmark --graph=tensorflow_inception_graph.pb --max_num_runs=102020-01-28 18:14:36.032984: I tensorflow/tools/benchmark/benchmark_model.cc:469] Graph: [tensorflow_inception_graph.pb]2020-01-28 18:14:36.035799: I tensorflow/tools/benchmark/benchmark_model.cc:470] Init ops:2020-01-28 18:14:36.035917: I tensorflow/tools/benchmark/benchmark_model.cc:471] Input layers: [input:0]2020-01-28 18:14:36.036025: I tensorflow/tools/benchmark/benchmark_model.cc:472] Input shapes: [1,224,224,3]2020-01-28 18:14:36.036130: I tensorflow/tools/benchmark/benchmark_model.cc:473] Input types: [float]2020-01-28 18:14:36.036447: I tensorflow/tools/benchmark/benchmark_model.cc:474] Output layers: [output:0]2020-01-28 18:14:36.036501: I tensorflow/tools/benchmark/benchmark_model.cc:475] Target layers: []2020-01-28 18:14:36.036584: I tensorflow/tools/benchmark/benchmark_model.cc:476] Num runs: [10]2020-01-28 18:14:36.036635: I tensorflow/tools/benchmark/benchmark_model.cc:477] Inter-inference delay (seconds): [-1.0]2020-01-28 18:14:36.036746: I tensorflow/tools/benchmark/benchmark_model.cc:478] Inter-benchmark delay (seconds): [-1.0]2020-01-28 18:14:36.036798: I tensorflow/tools/benchmark/benchmark_model.cc:480] Num threads: [-1]2020-01-28 18:14:36.036901: I tensorflow/tools/benchmark/benchmark_model.cc:481] Benchmark name: []2020-01-28 18:14:36.037007: I tensorflow/tools/benchmark/benchmark_model.cc:482] Output prefix: []2020-01-28 18:14:36.037114: I tensorflow/tools/benchmark/benchmark_model.cc:483] Show sizes: [0]2020-01-28 18:14:36.037163: I tensorflow/tools/benchmark/benchmark_model.cc:484] Warmup runs: [1]2020-01-28 18:14:36.037267: I tensorflow/tools/benchmark/benchmark_model.cc:251] Loading TensorFlow.2020-01-28 18:14:36.040333: I tensorflow/tools/benchmark/benchmark_model.cc:258] Got config, 0 devices2020-01-28 18:14:41.063077: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.063328: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.063422: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.063510: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.063598: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.063685: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_VARIANT } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.063770: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.063984: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.064125: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.064251: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.064339: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.064426: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.064566: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.064706: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableDenseHashTableV22020-01-28 18:14:41.064852: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.064995: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.065138: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.065281: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.065424: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.065566: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_VARIANT } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.065708: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.065849: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.065993: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.066133: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.066276: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.066419: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.066560: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.066702: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableDenseHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableDenseHashTable2020-01-28 18:14:41.066849: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.066992: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.067135: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.067280: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.067425: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.067567: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.067709: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.067855: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.067998: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.068141: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.068410: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.068556: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.068698: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensorsV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableOfTensorsV22020-01-28 18:14:41.068844: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.068987: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.069133: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.069274: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.069422: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.069563: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.069703: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.069842: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.069985: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.070128: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.070271: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.070409: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.070555: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableOfTensors" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableOfTensors2020-01-28 18:14:41.070697: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.070843: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.070988: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.071129: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.071271: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.071415: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_VARIANT } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.071559: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.071700: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.071842: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.071982: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.072125: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.072347: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.072491: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.072634: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTableV22020-01-28 18:14:41.072778: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.072917: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073059: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073226: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073310: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073420: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_VARIANT } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073527: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073632: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073682: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073787: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.073951: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.074059: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.074227: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.074334: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "MutableHashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: MutableHashTable2020-01-28 18:14:41.074491: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "InitializeTable" device_type: "CPU"') for unknown op: InitializeTable2020-01-28 18:14:41.074601: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: HashTableV22020-01-28 18:14:41.074763: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: HashTableV22020-01-28 18:14:41.074872: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: HashTableV22020-01-28 18:14:41.074923: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: HashTableV22020-01-28 18:14:41.075031: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: HashTableV22020-01-28 18:14:41.075195: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: HashTableV22020-01-28 18:14:41.075301: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: HashTableV22020-01-28 18:14:41.075460: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: HashTableV22020-01-28 18:14:41.075568: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: HashTableV22020-01-28 18:14:41.075731: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: HashTableV22020-01-28 18:14:41.075838: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: HashTableV22020-01-28 18:14:41.075947: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: HashTableV22020-01-28 18:14:41.076052: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: HashTableV22020-01-28 18:14:41.076156: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: HashTableV22020-01-28 18:14:41.076225: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTableV2" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: HashTableV22020-01-28 18:14:41.076332: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: HashTable2020-01-28 18:14:41.076436: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: HashTable2020-01-28 18:14:41.076598: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: HashTable2020-01-28 18:14:41.076760: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: HashTable2020-01-28 18:14:41.076922: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: HashTable2020-01-28 18:14:41.077081: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_STRING } } } constraint { name: "value_dtype" allowed_values { list { type: DT_BOOL } } }') for unknown op: HashTable2020-01-28 18:14:41.077243: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: HashTable2020-01-28 18:14:41.077405: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT64 } } }') for unknown op: HashTable2020-01-28 18:14:41.077512: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: HashTable2020-01-28 18:14:41.077678: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: HashTable2020-01-28 18:14:41.077782: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT64 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: HashTable2020-01-28 18:14:41.077942: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_STRING } } }') for unknown op: HashTable2020-01-28 18:14:41.078102: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_INT32 } } }') for unknown op: HashTable2020-01-28 18:14:41.078263: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_FLOAT } } }') for unknown op: HashTable2020-01-28 18:14:41.078370: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "HashTable" device_type: "CPU" constraint { name: "key_dtype" allowed_values { list { type: DT_INT32 } } } constraint { name: "value_dtype" allowed_values { list { type: DT_DOUBLE } } }') for unknown op: HashTable2020-01-28 18:14:41.078525: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableImportV2" device_type: "CPU"') for unknown op: LookupTableImportV22020-01-28 18:14:41.078623: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableExportV2" device_type: "CPU"') for unknown op: LookupTableExportV22020-01-28 18:14:41.078667: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableExport" device_type: "CPU"') for unknown op: LookupTableExport2020-01-28 18:14:41.078762: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableSizeV2" device_type: "CPU"') for unknown op: LookupTableSizeV22020-01-28 18:14:41.078914: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableSize" device_type: "CPU"') for unknown op: LookupTableSize2020-01-28 18:14:41.079071: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableInsertV2" device_type: "CPU"') for unknown op: LookupTableInsertV22020-01-28 18:14:41.079226: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableInsert" device_type: "CPU"') for unknown op: LookupTableInsert2020-01-28 18:14:41.079405: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableFindV2" device_type: "CPU"') for unknown op: LookupTableFindV22020-01-28 18:14:41.079502: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableFind" device_type: "CPU"') for unknown op: LookupTableFind2020-01-28 18:14:41.079604: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "InitializeTableFromTextFileV2" device_type: "CPU"') for unknown op: InitializeTableFromTextFileV22020-01-28 18:14:41.079760: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "InitializeTableFromTextFile" device_type: "CPU"') for unknown op: InitializeTableFromTextFile2020-01-28 18:14:41.080135: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "EncodeProto" device_type: "CPU"') for unknown op: EncodeProto2020-01-28 18:14:41.080364: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "DecodeProtoV2" device_type: "CPU"') for unknown op: DecodeProtoV22020-01-28 18:14:41.080571: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT64 } } }') for unknown op: RightShift2020-01-28 18:14:41.080672: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT32 } } }') for unknown op: RightShift2020-01-28 18:14:41.080830: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT16 } } }') for unknown op: RightShift2020-01-28 18:14:41.080985: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT8 } } }') for unknown op: RightShift2020-01-28 18:14:41.081141: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: RightShift2020-01-28 18:14:41.081298: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: RightShift2020-01-28 18:14:41.081456: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT16 } } }') for unknown op: RightShift2020-01-28 18:14:41.081610: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "RightShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT8 } } }') for unknown op: RightShift2020-01-28 18:14:41.081944: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "InitializeTableV2" device_type: "CPU"') for unknown op: InitializeTableV22020-01-28 18:14:41.082068: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT64 } } }') for unknown op: LeftShift2020-01-28 18:14:41.082168: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT32 } } }') for unknown op: LeftShift2020-01-28 18:14:41.082326: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT16 } } }') for unknown op: LeftShift2020-01-28 18:14:41.082481: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT8 } } }') for unknown op: LeftShift2020-01-28 18:14:41.082640: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: LeftShift2020-01-28 18:14:41.082797: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: LeftShift2020-01-28 18:14:41.082955: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT16 } } }') for unknown op: LeftShift2020-01-28 18:14:41.083112: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LeftShift" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT8 } } }') for unknown op: LeftShift2020-01-28 18:14:41.083572: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT64 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.083673: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT32 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.083829: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT16 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.083929: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT8 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.084085: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.084186: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.084314: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT16 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.084471: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseOr" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT8 } } }') for unknown op: BitwiseOr2020-01-28 18:14:41.084618: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "LookupTableImport" device_type: "CPU"') for unknown op: LookupTableImport2020-01-28 18:14:41.084765: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT64 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.084865: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT32 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.085019: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT16 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.085193: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT8 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.085295: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.085395: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.085496: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT16 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.085540: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseXor" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT8 } } }') for unknown op: BitwiseXor2020-01-28 18:14:41.085680: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name:"T" allowed_values { list { type: DT_UINT64 } } }') for unknown op: Invert* Read and write bandwitdth are not effected by the buffer size2020-01-28 18:14:41.085784: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT32 } } }') for unknown op: Invert* They are significantly affected by the ARM 2020-01-28 18:14:41.085887: E tensorflow/core frequency/framework/op_kernel. For instance, the improvement of the write bandwidth cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT16 } } }') for unknown op: Invert2020-01-28 18:14:41.085936: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT8 } } }') for unknown op: Invert2020-01-28 18:14:41.086037: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: Invert2020-01-28 18:14:41.086198: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: Invert2020-01-28 18:14:41.086356: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT16 } } }') for unknown op: Invert2020-01-28 18:14:41.086513: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "Invert" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT8 } } }') for unknown op: Invert2020-01-28 18:14:41.086646: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT64 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.086746: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT32 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.086847: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT16 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.086891: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT8 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.086992: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.087093: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.087137: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT16 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.087238: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "BitwiseAnd" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT8 } } }') for unknown op: BitwiseAnd2020-01-28 18:14:41.087673: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "PopulationCount" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT64 } } }') for unknown op: PopulationCount2020-01-28 18:14:41.087835: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "PopulationCount" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT32 } } }') for unknown op: PopulationCount2020-01-28 18:14:41.087935: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "PopulationCount" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT16 } } }') for unknown op: PopulationCount2020-01-28 18:14:41.088039: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "PopulationCount" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT16 } } }') for unknown op: PopulationCount2020-01-28 18:14:41.088216: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel ('op: "PopulationCount" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_INT8 } } }') for unknown op: PopulationCount2020-01-28 18:14:41.088322: E tensorflow/core/framework/op_kernel.cc:1197] OpKernel (about 62% when the buffer is 1GB'op: "PopulationCount" device_type: "CPU" constraint { name: "T" allowed_values { list { type: DT_UINT8 } } }') is practically the same of the increase for unknown op: PopulationCount2020-01-28 18:14:41.187561: I tensorflow/tools/benchmark/benchmark_model.cc:496] Initialized session in frequency5.15021s2020-01-28 18:14:41.188718: I tensorflow/tools/benchmark/benchmark_model.cc:327] Running benchmark for max 1 iterations, max -1 seconds without detailed stat logging, with -1s sleep between inferences2020-01-28 18:14:43.187381: I tensorflow/tools/benchmark/benchmark_model.cc:361] count=1 curr=1997453

For more information regarding LMbench, please see [http2020-01-28 18:14:43.187614:I tensorflow/tools/lmbenchbenchmark/benchmark_model.sourceforgecc:327] Running benchmark for max 10 iterations, max 10 seconds without detailed stat logging, with -1s sleep between inferences2020-01-28 18:14:45.net809784: I tensorflow/tools/benchmark/ this pagebenchmark_model.cc:361].count=10 first=266604 curr=258478 min=257829 max=267249 avg=262066 std=3241

===pmbw===As defined by the author, <code>pmbw</code> is "a set of assembler routines to measure the parallel memory (cache and RAM) bandwidth of modern multi2020-01-core machines28 18:14:45." It performs a myriad of tests809972: I tensorflow/tools/benchmark/benchmark_model. Luckilycc:327] Running benchmark for max 10 iterations, max 10 seconds with detailed stat logging, it comes with a handful tool that plots the results—which are stored in a text file—in a series of charts-1s sleep between inferences2020-01-28 18:14:48. Again,the 477759: I tensorflow/tools/benchmark was run at two different ARM core frequencies, 800 and 1300 MHz/benchmark_model.cc:361] count=10 first=268194 curr=266293 min=261888 max=268736 avg=265322 std=2219

The complete results and the charts are available at the following links2020-01-28 18:14:48.477956: I tensorflow/tools/benchmark/benchmark_model.cc:600] Average inference timings in us: Warmup: 1997453, no stats: 262065, with stats: 2653212020-01-28 18:14:48.485407: I tensorflow/core/util/stat_summarizer.cc:85] ============================== Run Order ==============================2020-01-28 18:14:48.485521: I tensorflow/core/util/stat_summarizer.cc:85] [node type] [start] [first] [avg ms] [%] [cdf%] [mem KB] [times called] [Name]2020-01-28 18:14:48.485855: I tensorflow/core/util/stat_summarizer.cc:85] NoOp 0.000 0.020 0.035 0.010% 0.010% 0.000 1 _SOURCE2020-01-28 18:14:48.486022: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.060 0.052 0.017 0.005% 0.014% 0.000 1 mixed4a_1x1_w2020-01-28 18:14:48.486062: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.081 0.009 0.010 0.003% 0.017% 0.000 1 mixed4a_1x1_b2020-01-28 18:14:48.486103: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.096 0.010 0.011 0.003% 0.020% 0.000 1 mixed4a_3x3_bottleneck_w2020-01-28 18:14:48.486147: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.111 0.010 0.010 0.003% 0.023% 0.000 1 mixed4a_3x3_bottleneck_b2020-01-28 18:14:48.486187: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.125 0.010 0.011 0.003% 0.025% 0.000 1 mixed4a_3x3_w2020-01-28 18:14:48.486228: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.139 0.010 0.010 0.003% 0.028% 0.000 1 mixed4a_3x3_b2020-01-28 18:14:48.486264: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.153 0.011 0.011 0.003% 0.031% 0.000 1 mixed4a_5x5_bottleneck_w2020-01-28 18:14:48.486304: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.170 0.010 0.010 0.003% 0.034% 0.000 1 mixed4a_5x5_bottleneck_b2020-01-28 18:14:48.486343: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.183 0.011 0.011 0.003% 0.037% 0.000 1 mixed4a_5x5_w2020-01-28 18:14:48.486675: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.199 0.010 0.009 0.002% 0.039% 0.000 1 mixed4a_5x5_b2020-01-28 18:14:48.486767: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.211 0.011 0.011 0.003% 0.042% 0.000 1 mixed3b_1x1_w2020-01-28 18:14:48.486804: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.226 0.010 0.010 0.003% 0.045% 0.000 1 mixed3b_1x1_b2020-01-28 18:14:48.486896: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.240 0.012 0.011 0.003% 0.048% 0.000 1 mixed3b_3x3_bottleneck_w2020-01-28 18:14:48.486932: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.255 0.010 0.014 0.004% 0.052% 0.000 1 mixed3b_3x3_bottleneck_b2020-01-28 18:14:48.486969: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.273 0.011 0.011 0.003% 0.055% 0.000 1 mixed3b_3x3_w2020-01-28 18:14:48.487113: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.288 0.010 0.009 0.003% 0.057% 0.000 1 mixed3b_3x3_b2020-01-28 18:14:48.487150: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.302 0.011 0.011 0.003% 0.060% 0.000 1 mixed3b_5x5_bottleneck_w2020-01-28 18:14:48.487240: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.317 0.009 0.009 0.003% 0.063% 0.000 1 mixed3b_5x5_bottleneck_b2020-01-28 18:14:48.487277: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.335 0.012 0.011 0.003% 0.066% 0.000 1 mixed3b_5x5_w2020-01-28 18:14:48.487312: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.349 0.010 0.009 0.002% 0.069% 0.000 1 mixed3b_5x5_b2020-01-28 18:14:48.487348: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.362 0.009 0.009 0.002% 0.071% 0.000 1 mixed4a/concat_dim2020-01-28 18:14:48.487384: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.375 0.012 0.011 0.003% 0.074% 0.000 1 mixed3a_1x1_w2020-01-28 18:14:48.487423: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.389 0.010 0.012 0.003% 0.077% 0.000 1 mixed3a_1x1_b2020-01-28 18:14:48.487458: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.406 0.011 0.011 0.003% 0.080% 0.000 1 mixed3a_3x3_bottleneck_w2020-01-28 18:14:48.487493: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.421 0.010 0.010 0.003% 0.083% 0.000 1 mixed3a_3x3_bottleneck_b2020-01-28 18:14:48.487529: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.434 0.011 0.011 0.003% 0.086% 0.000 1 mixed3a_3x3_w2020-01-28 18:14:48.487567: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.448 0.008 0.009 0.002% 0.088% 0.000 1 mixed3a_3x3_b2020-01-28 18:14:48.487604: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.461 0.009 0.011 0.003% 0.091% 0.000 1 mixed3a_5x5_bottleneck_w2020-01-28 18:14:48.487640: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.476 0.008 0.009 0.002% 0.094% 0.000 1 mixed3a_5x5_bottleneck_b2020-01-28 18:14:48.487680: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.489 0.011 0.011 0.003% 0.097% 0.000 1 mixed3a_5x5_w2020-01-28 18:14:48.487993: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.503 0.009 0.009 0.003% 0.099% 0.000 1 mixed3a_5x5_b2020-01-28 18:14:48.488141: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.516 0.012 0.010 0.003% 0.102% 0.000 1 conv2d0_w2020-01-28 18:14:48.488249: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.532 0.008 0.019 0.005% 0.107% 0.000 1 conv2d0_b2020-01-28 18:14:48.488402: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.555 0.011 0.011 0.003% 0.110% 0.000 1 conv2d1_w2020-01-28 18:14:48.489052: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.570 0.010 0.009 0.003% 0.113% 0.000 1 conv2d1_b2020-01-28 18:14:48.489143: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.584 0.011 0.011 0.003% 0.116% 0.000 1 conv2d2_w2020-01-28 18:14:48.489179: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.598 0.007 0.009 0.003% 0.118% 0.000 1 conv2d2_b2020-01-28 18:14:48.489340: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.611 0.011 0.011 0.003% 0.121% 0.000 1 mixed3a_pool_reduce_w2020-01-28 18:14:48.489502: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.627 0.010 0.010 0.003% 0.124% 0.000 1 mixed3a_pool_reduce_b2020-01-28 18:14:48.490146: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.641 0.009 0.011 0.003% 0.127% 0.000 1 mixed3b_pool_reduce_w2020-01-28 18:14:48.490239: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.656 0.010 0.009 0.003% 0.129% 0.000 1 mixed3b_pool_reduce_b2020-01-28 18:14:48.490276: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.669 0.009 0.011 0.003% 0.132% 0.000 1 mixed4a_pool_reduce_w2020-01-28 18:14:48.490441: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.684 0.008 0.009 0.003% 0.135% 0.000 1 mixed4a_pool_reduce_b2020-01-28 18:14:48.490606: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.698 0.009 0.010 0.003% 0.137% 0.000 1 head0_bottleneck_w2020-01-28 18:14:48.490975: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.712 0.008 0.009 0.003% 0.140% 0.000 1 head0_bottleneck_b2020-01-28 18:14:48.491011: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.725 0.008 0.009 0.003% 0.143% 0.000 1 head0_bottleneck/reshape/shape2020-01-28 18:14:48.491541: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.739 0.010 0.010 0.003% 0.145% 0.000 1 nn0_w2020-01-28 18:14:48.492186: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.752 0.009 0.009 0.003% 0.148% 0.000 1 nn0_b2020-01-28 18:14:48.492240: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.765 0.007 0.009 0.002% 0.150% 0.000 1 softmax0_w2020-01-28 18:14:48.492385: I tensorflow/core/util/stat_summarizer.cc:85] Const 0.778 0.008 0.008 0.002% 0.153% 0.000 1 softmax0_b2020-01-28 18:14:48.492422: I tensorflow/core/util/stat_summarizer.cc:85] _Arg 0.792 0.008 0.008 0.002% 0.155% 0.000 1 _arg_input_0_02020-01-28 18:14:48.492628: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 0.805 32.317 32.623 8.925% 9.079% 3211.264 1 conv2d0_pre_relu/conv2020-01-28 18:14:48.492667: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 33.474 2.635 2.283 0.624% 9.704% 0.000 1 conv2d0_pre_relu2020-01-28 18:14:48.492828: I tensorflow/core/util/stat_summarizer.cc:85] Relu 35.780 2.713 2.142 0.586% 10.290% 0.000 1 conv2d02020-01-28 18:14:48.493198: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 37.944 6.502 6.481 1.773% 12.063% 802.816 1 maxpool02020-01-28 18:14:48.493237: I tensorflow/core/util/stat_summarizer.cc:85] LRN 44.470 6.602 5.886 1.610% 13.673% 802.816 1 localresponsenorm02020-01-28 18:14:48.493409: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 50.401 3.354 3.423 0.936% 14.609% 802.816 1 conv2d1_pre_relu/conv2020-01-28 18:14:48.493500: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 53.870 0.629 0.633 0.173% 14.782% 0.000 1 conv2d1_pre_relu2020-01-28 18:14:48.493991: I tensorflow/core/util/stat_summarizer.cc:85] Relu 54.520 0.395 0.428 0.117% 14.899% 0.000 1 conv2d12020-01-28 18:14:48.494637: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 54.957 51.612 51.075 13.972% 28.872% 2408.448 1 conv2d2_pre_relu/conv2020-01-28 18:14:48.495116: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 106.079 2.016 1.571 0.430% 29.302% 0.000 1 conv2d2_pre_relu2020-01-28 18:14:48.495700: I tensorflow/core/util/stat_summarizer.cc:85] Relu 107.673 1.536 1.488 0.407% 29.709% 0.000 1 conv2d22020-01-28 18:14:48.495862: I tensorflow/core/util/stat_summarizer.cc:85] LRN 109.182 24.461 24.767 6.775% 36.484% 2408.448 1 localresponsenorm12020-01-28 18:14:48.495953: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 134.002 4.236 4.240 1.160% 37.644% 602.112 1 maxpool12020-01-28 18:14:48.495989: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 138.638 3.914 3.945 1.079% 38.723% 602.112 1 mixed3a_pool2020-01-28 18:14:48.496118: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 138.792 4.880 4.255 1.164% 39.887% 50.176 1 mixed3a_5x5_bottleneck_pre_relu/conv2020-01-28 18:14:48.496568: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 138.546 5.315 7.517 2.056% 41.944% 301.056 1 mixed3a_3x3_bottleneck_pre_relu/conv2020-01-28 18:14:48.496663: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 143.071 0.097 0.109 0.030% 41.973% 0.000 1 mixed3a_5x5_bottleneck_pre_relu2020-01-28 18:14:48.496701: I tensorflow/core/util/stat_summarizer.cc:85] Relu 143.188 0.035 0.039 0.011% 41.984% 0.000 1 mixed3a_5x5_bottleneck2020-01-28 18:14:48.496955: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 146.104 0.445 0.470 0.129% 42.112% 0.000 1 mixed3a_3x3_bottleneck_pre_relu2020-01-28 18:14:48.497320: I tensorflow/core/util/stat_summarizer.cc:85] Relu 146.584 0.223 0.189 0.052% 42.164% 0.000 1 mixed3a_3x3_bottleneck2020-01-28 18:14:48.497416: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 138.446 6.988 4.664 1.276% 43.440% 200.704 1 mixed3a_1x1_pre_relu/conv2020-01-28 18:14:48.497455: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 143.151 0.317 0.313 0.086% 43.526% 0.000 1 mixed3a_1x1_pre_relu2020-01-28 18:14:48.497822: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 142.625 5.060 4.812 1.316% 44.842% 100.352 1 mixed3a_pool_reduce_pre_relu/conv2020-01-28 18:14:48.497860: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 147.464 0.173 0.166 0.045% 44.888% 0.000 1 mixed3a_pool_reduce_pre_relu2020-01-28 18:14:48.498501: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 143.233 6.106 5.667 1.550% 46.438% 100.352 1 mixed3a_5x5_pre_relu/conv2020-01-28 18:14:48.498538: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 148.930 0.169 0.165 0.045% 46.483% 0.000 1 mixed3a_5x5_pre_relu2020-01-28 18:14:48.498697: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 146.780 16.627 15.402 4.213% 50.697% 401.408 1 mixed3a_3x3_pre_relu/conv2020-01-28 18:14:48.499230: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 162.229 0.441 0.455 0.124% 50.821% 0.000 1 mixed3a_3x3_pre_relu2020-01-28 18:14:48.499401: I tensorflow/core/util/stat_summarizer.cc:85] Concat 162.694 0.636 0.633 0.173% 50.994% 802.816 1 mixed3a2020-01-28 18:14:48.499603: I tensorflow/core/util/stat_summarizer.cc:85] Relu 163.364 0.458 0.489 0.134% 51.128% 0.000 1 mixed3a_1x12020-01-28 18:14:48.500258: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 165.109 3.085 5.449 1.491% 52.619% 100.352 1 mixed3b_5x5_bottleneck_pre_relu/conv2020-01-28 18:14:48.500354: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 170.583 0.166 0.174 0.048% 52.667% 0.000 1 mixed3b_5x5_bottleneck_pre_relu2020-01-28 18:14:48.500391: I tensorflow/core/util/stat_summarizer.cc:85] Relu 170.766 0.060 0.064 0.017% 52.684% 0.000 1 mixed3b_5x5_bottleneck2020-01-28 18:14:48.500429: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 164.041 5.256 5.227 1.430% 54.114% 802.816 1 mixed3b_pool2020-01-28 18:14:48.500588: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 163.962 11.059 12.903 3.530% 57.644% 401.408 1 mixed3b_1x1_pre_relu/conv2020-01-28 18:14:48.500957: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 176.920 1.239 1.515 0.415% 58.058% 0.000 1 mixed3b_1x1_pre_relu2020-01-28 18:14:48.500994: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 169.323 9.752 9.359 2.560% 60.619% 200.704 1 mixed3b_pool_reduce_pre_relu/conv2020-01-28 18:14:48.501690: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 178.730 0.308 0.314 0.086% 60.704% 0.000 1 mixed3b_pool_reduce_pre_relu2020-01-28 18:14:48.502335: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 164.063 18.048 14.944 4.088% 64.793% 401.408 1 mixed3b_3x3_bottleneck_pre_relu/conv2020-01-28 18:14:48.502429: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 179.062 0.533 1.497 0.410% 65.202% 0.000 1 mixed3b_3x3_bottleneck_pre_relu2020-01-28 18:14:48.502468: I tensorflow/core/util/stat_summarizer.cc:85] Relu 180.579 0.365 1.194 0.327% 65.529% 0.000 1 mixed3b_3x3_bottleneck2020-01-28 18:14:48.502559: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 170.835 24.634 22.326 6.108% 71.636% 301.056 1 mixed3b_5x5_pre_relu/conv2020-01-28 18:14:48.502597: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 193.221 0.575 0.483 0.132% 71.769% 0.000 1 mixed3b_5x5_pre_relu2020-01-28 18:14:48.502633: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 181.790 31.440 31.830 8.708% 80.476% 602.112 1 mixed3b_3x3_pre_relu/conv2020-01-28 18:14:48.502671: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 213.669 0.519 0.512 0.140% 80.616% 0.000 1 mixed3b_3x3_pre_relu2020-01-28 18:14:48.502707: I tensorflow/core/util/stat_summarizer.cc:85] Concat 214.195 0.924 0.952 0.260% 80.877% 1505.280 1 mixed3b2020-01-28 18:14:48.502742: I tensorflow/core/util/stat_summarizer.cc:85] Relu 215.190 0.803 0.727 0.199% 81.076% 0.000 1 mixed3b_1x12020-01-28 18:14:48.502780: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 215.934 2.455 2.509 0.686% 81.762% 376.320 1 maxpool42020-01-28 18:14:48.502815: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 218.833 1.657 2.259 0.618% 82.380% 12.544 1 mixed4a_5x5_bottleneck_pre_relu/conv2020-01-28 18:14:48.502853: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 221.115 0.044 0.043 0.012% 82.392% 0.000 1 mixed4a_5x5_bottleneck_pre_relu2020-01-28 18:14:48.502889: I tensorflow/core/util/stat_summarizer.cc:85] Relu 221.166 0.019 0.019 0.005% 82.397% 0.000 1 mixed4a_5x5_bottleneck2020-01-28 18:14:48.502927: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 218.844 2.269 2.299 0.629% 83.026% 376.320 1 mixed4a_pool2020-01-28 18:14:48.502962: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 218.667 5.153 5.253 1.437% 84.463% 75.264 1 mixed4a_3x3_bottleneck_pre_relu/conv2020-01-28 18:14:48.503001: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 223.943 0.139 0.131 0.036% 84.499% 0.000 1 mixed4a_3x3_bottleneck_pre_relu2020-01-28 18:14:48.503439: I tensorflow/core/util/stat_summarizer.cc:85] Relu 224.082 0.050 0.050 0.014% 84.512% 0.000 1 mixed4a_3x3_bottleneck2020-01-28 18:14:48.503533: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 221.191 4.063 3.648 0.998% 85.510% 37.632 1 mixed4a_5x5_pre_relu/conv2020-01-28 18:14:48.503572: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 224.857 0.075 0.074 0.020% 85.531% 0.000 1 mixed4a_5x5_pre_relu2020-01-28 18:14:48.503608: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 221.183 4.655 3.853 1.054% 86.585% 50.176 1 mixed4a_pool_reduce_pre_relu/conv2020-01-28 18:14:48.503644: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 225.054 0.088 0.091 0.025% 86.610% 0.000 1 mixed4a_pool_reduce_pre_relu2020-01-28 18:14:48.503680: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 218.608 8.458 8.568 2.344% 88.954% 150.528 1 mixed4a_1x1_pre_relu/conv2020-01-28 18:14:48.503715: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 227.218 0.239 0.237 0.065% 89.019% 0.000 1 mixed4a_1x1_pre_relu2020-01-28 18:14:48.503751: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 224.137 9.511 9.010 2.465% 91.483% 159.936 1 mixed4a_3x3_pre_relu/conv2020-01-28 18:14:48.503790: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 233.193 0.253 0.255 0.070% 91.553% 0.000 1 mixed4a_3x3_pre_relu2020-01-28 18:14:48.503826: I tensorflow/core/util/stat_summarizer.cc:85] Concat 233.454 0.951 0.495 0.135% 91.688% 398.272 1 mixed4a2020-01-28 18:14:48.503861: I tensorflow/core/util/stat_summarizer.cc:85] Relu 233.981 0.298 0.281 0.077% 91.765% 0.000 1 mixed4a_1x12020-01-28 18:14:48.503900: I tensorflow/core/util/stat_summarizer.cc:85] AvgPool 234.268 0.692 0.648 0.177% 91.942% 32.512 1 head0_pool2020-01-28 18:14:48.503938: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 234.923 1.297 1.328 0.363% 92.306% 8.192 1 head0_bottleneck_pre_relu/conv2020-01-28 18:14:48.504030: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 236.260 0.030 0.030 0.008% 92.314% 0.000 1 head0_bottleneck_pre_relu2020-01-28 18:14:48.504527: I tensorflow/core/util/stat_summarizer.cc:85] Relu 236.296 0.016 0.015 0.004% 92.318% 0.000 1 head0_bottleneck2020-01-28 18:14:48.504567: I tensorflow/core/util/stat_summarizer.cc:85] Reshape 236.316 0.012 0.013 0.004% 92.321% 0.000 1 head0_bottleneck/reshape2020-01-28 18:14:48.504984: I tensorflow/core/util/stat_summarizer.cc:85] MatMul 236.336 18.566 18.611 5.091% 97.413% 4.096 1 nn0_pre_relu/matmul2020-01-28 18:14:48.505021: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 254.968 0.029 0.028 0.008% 97.420% 0.000 1 nn0_pre_relu2020-01-28 18:14:48.505114: I tensorflow/core/util/stat_summarizer.cc:85] Relu 255.002 0.012 0.013 0.003% 97.424% 0.000 1 nn02020-01-28 18:14:48.505152: I tensorflow/core/util/stat_summarizer.cc:85] MatMul 255.020 9.308 9.289 2.541% 99.965% 4.032 1 softmax0_pre_activation/matmul2020-01-28 18:14:48.505244: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 264.329 0.027 0.028 0.008% 99.973% 0.000 1 softmax0_pre_activation2020-01-28 18:14:48.505280: I tensorflow/core/util/stat_summarizer.cc:85] Softmax 264.363 0.076 0.074 0.020% 99.993% 0.000 1 softmax02020-01-28 18:14:48.505428: I tensorflow/core/util/stat_summarizer.cc:85] Identity 264.442 0.009 0.009 0.002% 99.995% 0.000 1 output2020-01-28 18:14:48.505464: I tensorflow/core/util/stat_summarizer.cc:85] _Retval 264.461 0.017 0.018 0.005% 100.000% 0.000 1 _retval_output_0_02020-01-28 18:14:48.505555: I tensorflow/core/util/stat_summarizer.cc:85] 2020-01-28 18:14:48.505585: I tensorflow/core/util/stat_summarizer.cc:85] ============================== Top by Computation Time ==============================2020-01-28 18:14:48.505672: I tensorflow/core/util/stat_summarizer.cc:85] [node type] [start] [first] [avg ms] [%] [cdf%] [mem KB] [times called] [Name]2020-01-28 18:14:48.505709: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 54.957 51.612 51.075 13.972% 13.972% 2408.448 1 conv2d2_pre_relu/conv2020-01-28 18:14:48.505802:I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 0.805 32.317 32.623 8.925% 22.897% 3211.264 1 conv2d0_pre_relu/conv*http2020-01-28 18:14:48.505914:I tensorflow/core/util/mirrorstat_summarizer.cc:85] Conv2D 181.790 31.440 31.830 8.708% 31.dave605% 602.eu112 1 mixed3b_3x3_pre_relu/mitoconv2020-01-28 18:14:48.505953: I tensorflow/core/Mito8Mutil/pmbwstat_summarizer.cc:85] LRN 109.182 24.461 24.767 6.775% 38.380% 2408.448 1 localresponsenorm12020-stats01-28 18:14:48.506046: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 170.835 24.634 22.326 6.108% 44.488% 301.056 1 mixed3b_5x5_pre_relu/conv2020-01-28 18:14:48.506084: I tensorflow/core/util/stat_summarizer.cc:85] MatMul 236.336 18.566 18.611 5.091% 49.579% 4.096 1 nn0_pre_relu/matmul2020-01-28 18:14:48.506121: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 146.780 16.627 15.402 4.213% 53.792% 401.408 1 mixed3a_3x3_pre_relu/conv2020-01-28 18:14:48.506159: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 164.063 18.048 14.944 4.088% 57.881% 401.408 1 mixed3b_3x3_bottleneck_pre_relu/conv2020-01-28 18:14:48.506197: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 163.962 11.059 12.903 3.530% 61.410% 401.408 1 mixed3b_1x1_pre_relu/conv2020-01-28 18:14:48.506232: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 169.323 9.752 9.359 2.560% 63.971% 200.704 1 mixed3b_pool_reduce_pre_relu/conv2020-01-28 18:14:48.506266: I tensorflow/core/util/stat_summarizer.cc:85] 2020-01-28 18:14:48.506294: I tensorflow/core/util/stat_summarizer.cc:85] ============================== Top by Memory Use ==============================2020-01-28 18:14:48.506326: I tensorflow/core/util/stat_summarizer.cc:85] [node type] [start] [first] [avg ms] [%] [cdf%] [mem KB] [times called] [Name]2020-01-28 18:14:48.506363: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 0.805 32.317 32.623 8.925% 8.925% 3211.264 1 conv2d0_pre_relu/conv2020-01-28 18:14:48.506401: I tensorflow/core/util/stat_summarizer.cc:85] LRN 109.182 24.461 24.767 6.775% 15.700% 2408.448 1 localresponsenorm12020-01-28 18:14:48.506438: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 54.957 51.612 51.075 13.972% 29.672% 2408.448 1 conv2d2_pre_relu/conv2020-01-28 18:14:48.506476: I tensorflow/core/util/stat_summarizer.cc:85] Concat 214.195 0.924 0.952 0.260% 29.933% 1505.280 1 mixed3b2020-01-28 18:14:48.507181: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 164.041 5.256 5.227 1.430% 31.363% 802.816 1 mixed3b_pool2020-01-28 18:14:48.507351: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 50.401 3.354 3.423 0.936% 32.299% 802.816 1 conv2d1_pre_relu/conv2020-01-28 18:14:48.507496: I tensorflow/core/util/stat_summarizer.cc:85] LRN 44.470 6.602 5.886 1.610% 33.909% 802.816 1 localresponsenorm02020-01-28 18:14:48.507533: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 37.944 6.502 6.481 1.773% 35.682% 802.816 1 maxpool02020-01-28 18:14:48.507624: I tensorflow/core/util/stat_summarizer.cc:85] Concat 162.694 0.636 0.633 0.173% 35.856% 802.816 1 mixed3a2020-01-28 18:14:48.507663: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 181.790 31.440 31.830 8.708% 44.563% 602.112 1 mixed3b_3x3_pre_relu/conv2020-01-28 18:14:48.507754: I tensorflow/core/util/stat_summarizer.cc:85] 2020-01-28 18:14:48.507782: I tensorflow/core/util/stat_summarizer.cc:85] Number of nodes executed: 1302020-01-28 18:14:48.507865: I tensorflow/core/util/stat_summarizer.cc:85] ============================== Summary by node type ==============================2020-01-28 18:14:48.507896: I tensorflow/core/util/stat_summarizer.cc:85] [Node type] [count] [avg ms] [avg %] [cdf %] [mem KB] [times called]2020-01-28 18:14:48.508038: I tensorflow/core/util/stat_summarizer.cc:85] Conv2D 22 260.161 71.183% 71.183% 10077.888 222020-01-28 18:14:48.508073: I tensorflow/core/util/stat_summarizer.cc:85] LRN 2 30.651 8.386% 79.570% 3211.264 22020-01-28 18:14:48.508165: I tensorflow/core/util/stat_summarizer.cc:85] MatMul 2 27.898 7.633% 87.203% 8.128 22020-01-28 18:14:48.508216: I tensorflow/core/util/stat_summarizer.cc:85] MaxPool 6 24.698 6.758% 93.961% 3562.496 62020-01-28 18:14:48.508307: I tensorflow/core/util/stat_summarizer.cc:85] BiasAdd 24 11.569 3.165% 97.126% 0.000 242020-Mito8M01-800MHz28 18:14:48.508344: I tensorflow/core/util/stat_summarizer.cc:85] Relu 14 7.130 1.951% 99.077% 0.txt000 14*http2020-01-28 18:14:48.508434: I tensorflow/core/mirrorutil/stat_summarizer.cc:85] Concat 3 2.079 0.dave569% 99.eu646% 2706.368 32020-01-28 18:14:48.509018: I tensorflow/mitocore/Mito8Mutil/pmbwstat_summarizer.cc:85] AvgPool 1 0.647 0.177% 99.823% 32.512 12020-plots01-Mito8M28 18:14:48.509453: I tensorflow/core/util/stat_summarizer.cc:85] Const 50 0.497 0.136% 99.959% 0.000 502020-01-800MHz28 18:14:48.509613: I tensorflow/core/util/stat_summarizer.pdfcc:85] Softmax 1 0.073 0.020% 99.979% 0.000 1*http2020-01-28 18:14:48.509773:I tensorflow/core/util/mirrorstat_summarizer.cc:85] NoOp 1 0.034 0.009% 99.dave988% 0.000 12020-01-28 18:14:48.eu509921: I tensorflow/mitocore/Mito8Mutil/pmbwstat_summarizer.cc:85] _Retval 1 0.017 0.005% 99.993% 0.000 12020-stats01-28 18:14:48.510011: I tensorflow/core/util/stat_summarizer.cc:85] Reshape 1 0.012 0.003% 99.996% 0.000 12020-01-28 18:14:48.510045: I tensorflow/core/util/stat_summarizer.cc:85] Identity 1 0.008 0.002% 99.998% 0.000 12020-01-28 18:14:48.510136: I tensorflow/core/util/stat_summarizer.cc:85] _Arg 1 0.007 0.002% 100.000% 0.000 12020-Mito8M01-1300MHz28 18:14:48.txt510170: I tensorflow/core/util/stat_summarizer.cc:85] *http2020-01-28 18:14:48.510253: I tensorflow/core/util/mirrorstat_summarizer.davecc:85] Timings (microseconds): count=10 first=370686 curr=377574 min=355204 max=377574 avg=365543 std=74542020-01-28 18:14:48.eu510284: I tensorflow/mitocore/Mito8Mutil/pmbwstat_summarizer.cc:85] Memory (bytes): count=10 curr=19598656(all same)2020-01-plots28 18:14:48.510425: I tensorflow/core/util/stat_summarizer.cc:85] 130 nodes observed2020-Mito8M01-1300MHz28 18:14:48.510561: I tensorflow/core/util/stat_summarizer.pdfcc:85]</pre>

For more details about <code>pmbw</code>, please refer to [httpsThe other one is based on TensorFlow Lite://panthema.net/2013/pmbw/ this page]. ===stressapptest===According to the documentation, stressapptest—which was developed at Google—is "a memory interface test. It tries to maximize randomized traffic to memory from processor and I/O, with the intent of creating a realistic high load situation in order to test the existing hardware devices in a computer."{| <pre class="wikitableboard-terminal">|+root@imx8qmmek:~/devel/tensorflowlite# ls -la! rowspan="2" |Testtotal 77744! colspan="drwxr-xr-t 2" |Bandwidth200714 89939 4096 Aug 3 2018 .[MB/s]drwxr-xr-x 4 root root 4096 Jan 28 16:23 ..|-rw-r--r-- 1 200714 89939 17020468 Aug 3 2018 mobilenet_v1_1.0_224_quant.ckpt.data-00000-of-00001!ARM core frequency = 800 MHz-rw-r--r-- 1 200714 89939 14644 Aug 3 2018 mobilenet_v1_1.0_224_quant.ckpt.index!ARM core frequency = 1300 MHz-rw-r--r-- 1 200714 89939 5143394 Aug 3 2018 mobilenet_v1_1.0_224_quant.ckpt.meta|-rw-r--r-- 1 200714 89939 4276352 Aug 3 2018 mobilenet_v1_1.0_224_quant.tflite|Memory copy-rw-r--r-- 1 root root 35069912 Aug 3 2018 mobilenet_v1_1.0_224_quant.tgz|5483-rw-r--r-- 1 200714 89939 885850 Aug 3 2018 mobilenet_v1_1.0_224_quant_eval.pbtxt|5804-rw-r--r-- 1 200714 89939 17173742 Aug 3 2018 mobilenet_v1_1.0_224_quant_frozen.pb|}  The above table lists the achieved results when the benchmark was run as detailed in [[#Running_the_tests_4|this section]]-rw-r--r-- 1 200714 89939 89 Aug 3 2018 mobilenet_v1_1. In this case, the different when running at different ARM core frequencies is very little0_224_quant_info.txt For more information about stressapptest, please refer to [httpsroot@imx8qmmek:~/devel/tensorflowlite# /github.comusr/stressapptestbin/stressapptest this page]tensorflow-lite-1.12. ==Useful links==*Joshua Wyatt Smith and Andrew Hamilton, [http:0/examples/inspireheplabel_image -m mobilenet_v1_1.0_224_quant.nettflite -t 1 -i /recordusr/1424637bin/files/1719033_626tensorflow-lite-6301.pdf Parallel benchmarks for ARM processors in the highenergy context]*T Wrigley, G Harmsen and B Mellado, [http:12.0/examples/inspirehepgrace_hopper.netbmp -l /recordusr/1424631bin/files/1719033_275tensorflow-lite-280.pdf Memory performance of ARM processors and itsrelevance to High Energy Physics]*G. T. Wrigley, R. G1. Reed, B12. Mellado, [http:0/examples/inspireheplabels.net/record/1424637/files/1719033_626-630txtLoaded model mobilenet_v1_1.0_224_quant.pdf Memory benchmarking characterisation of ARM-based SoCs]tfliteresolved reporterinvoked ==Appendix Aaverage time: Detailed testing procedures==308.553 ms This section details how the benchmarks were configured and run on the testbed0.780392: 653 military uniform===STREAM===0.105882: 907 Windsor tie0.0156863: 458 bow tie====Building====0.0117647: 466 bulletproof vestTo build STREAM0.00784314:835 suit* clone its git repository*modify the <code>Makefile</codepre> as shown below*issue the <code>make</code> command.