2019-05-11 09:37:10.236610: I tensorflow/core/kernels/conv_grad_input_ops.cc:1027] running auto-tune for Backward-Data
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26/10000 [..............................] - ETA: 52:34:46 - loss: 4.2831 - regression_loss: 2.7390 - classification_loss: 1.54412019-05-11 09:37:15.802606: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
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27/10000 [..............................] - ETA: 52:12:39 - loss: 4.2661 - regression_loss: 2.7351 - classification_loss: 1.5   28/10000 [..............................] - ETA: 50:24:21 - loss: 4.2608 - regression_loss: 2.7304 - classification_loss: 1.53042019-05-11 09:37:58.639637: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
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^A2019-05-11 09:38:44.359406: I tensorflow/core/kernels/conv_grad_input_ops.cc:1027] running auto-tune for Backward-Data
^A2019-05-11 09:38:45.186615: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
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29/10000 [..............................] - ETA: 59:11:10 - loss: 4.2534 - regression_loss: 2.7329 - classification_loss: 1.52052019-05-11 09:39:21.574372: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
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30/10000 [..............................] - ETA: 57:47:36 - loss: 4.2438 - regression_loss: 2.7355 - classification_loss: 1.50832019-05-11 09:39:44.261877: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
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2019-05-11 09:40:30.095116: I tensorflow/core/kernels/conv_grad_input_ops.cc:1027] running auto-tune for Backward-Data
2019-05-11 09:40:30.980979: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
2019-05-11 09:40:33.032709: I tensorflow/core/kernels/conv_grad_input_ops.cc:1027] running auto-tune for Backward-Data
2019-05-11 09:40:34.055167: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
2019-05-11 09:40:38.208501: I tensorflow/core/kernels/conv_grad_input_ops.cc:1027] running auto-tune for Backward-Data
2019-05-11 09:40:39.190705: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
2019-05-11 09:40:43.381382: I tensorflow/core/kernels/conv_grad_input_ops.cc:1027] running auto-tune for Backward-Data
2019-05-11 09:40:45.359053: I tensorflow/core/kernels/conv_grad_filter_ops.cc:979] running auto-tune for Backward-Filter
31/10000 [..............................] - ETA: 62:56:19 - loss: 4.2464 - regression_loss: 2.7448 - classification_loss: 1.5   32/10000 [..............................] - ETA: 61:01:21 - loss: 4.2437 - regression_loss: 2.7502 - classification_loss: 1.4935
I'm not sure where the problem is, but it is reproduceable. Is there possible solutions?

I waited for like 6 hours and it only did 1000/10000 iters, still stuck at warm-up stage. I found other people posting this issue online, but they're using nvidia gpus. many people suggest
export TF_CUDNN_USE_AUTOTUNE=0
using an Nvidia gpu, and I tried this, but the speed became even slower.

Hi @Hycdog , could you confirm if there are any GPU activities when you feel the training is "stuck"? You can watch the GPU status in a second terminal with the following command:
watch -n 0.1 /opt/rocm/bin/rocm-smi
Besides, could you list the details of your system?

Every 2.0s: iostat                          hu-desktop: Sat May 11 22:40:57 2019
avg-cpu:  %user   %nice %system %iowait  %steal   %idle
10.76    2.31    2.43    0.13    0.00   84.37
Device             tps    kB_read/s    kB_wrtn/s    kB_read    kB_wrtn
loop0             0.00         0.01         0.00         54          0
loop1             0.00         0.01         0.00        121          0
loop2             0.03         0.12         0.00       1263          0
loop3             0.02         0.12         0.00       1259          0
loop4             2.30         2.40         0.00      25254          0
loop5             0.01         0.01         0.00        142          0
loop6             0.03         0.12         0.00       1262          0
loop7             0.00         0.03         0.00        336          0
nvme0n1         102.44      2299.85      1903.96   24237237   20065104
sda               0.03         0.80         0.00       8425          0
loop8             0.00         0.03         0.00        343          0
loop9             0.00         0.01         0.00        127          0
loop10            0.02         0.05         0.00        490          0
loop11            0.02         0.05         0.00        533          0
loop12            0.00         0.00         0.00          4          0

Every 2.0s: rocm-smi -P                     hu-desktop: Sat May 11 22:41:54 2019
========================ROCm System Management Interface========================
================================================================================
GPU[0]          : Average Graphics Package Power: 32.0W
================================================================================
==============================End of ROCm SMI Log ==============================

Every 2.0s: free -h                         hu-desktop: Sat May 11 22:44:13 2019
total        used        free      shared  buff/cache   available
Mem:          7.8Gi       6.9Gi       320Mi       180Mi       538Mi       408Mi
Swap:          11Gi       2.9Gi       9.1Gi

GPU  Temp   AvgPwr  SCLK    MCLK    Fan     Perf  PwrCap  SCLK OD  MCLK OD  GPU%
0    49.0c  31.0W   701Mhz  801Mhz  21.96%  auto  250.0W  0%       0%       0%

There is no background tasks.

Every 2.0s: iostat                          hu-desktop: Sat May 11 22:40:57 2019
avg-cpu:  %user   %nice %system %iowait  %steal   %idle
10.76    2.31    2.43    0.13    0.00   84.37
Device             tps    kB_read/s    kB_wrtn/s    kB_read    kB_wrtn
loop0             0.00         0.01         0.00         54          0
loop1             0.00         0.01         0.00        121          0
loop2             0.03         0.12         0.00       1263          0
loop3             0.02         0.12         0.00       1259          0
loop4             2.30         2.40         0.00      25254          0
loop5             0.01         0.01         0.00        142          0
loop6             0.03         0.12         0.00       1262          0
loop7             0.00         0.03         0.00        336          0
nvme0n1         102.44      2299.85      1903.96   24237237   20065104
sda               0.03         0.80         0.00       8425          0
loop8             0.00         0.03         0.00        343          0
loop9             0.00         0.01         0.00        127          0
loop10            0.02         0.05         0.00        490          0
loop11            0.02         0.05         0.00        533          0
loop12            0.00         0.00         0.00          4          0

Every 2.0s: rocm-smi -P                     hu-desktop: Sat May 11 22:41:54 2019
========================ROCm System Management Interface========================
================================================================================
GPU[0]          : Average Graphics Package Power: 32.0W
================================================================================
==============================End of ROCm SMI Log ==============================

Every 2.0s: free -h                         hu-desktop: Sat May 11 22:44:13 2019
total        used        free      shared  buff/cache   available
Mem:          7.8Gi       6.9Gi       320Mi       180Mi       538Mi       408Mi
Swap:          11Gi       2.9Gi       9.1Gi

GPU  Temp   AvgPwr  SCLK    MCLK    Fan     Perf  PwrCap  SCLK OD  MCLK OD  GPU%
0    49.0c  31.0W   701Mhz  801Mhz  21.96%  auto  250.0W  0%       0%       0%

There is no background tasks.

hu@hu-desktop:~$ sudo lshw
hu-desktop
description: Desktop Computer
product: To Be Filled By O.E.M. (To Be Filled By O.E.M.)
vendor: To Be Filled By O.E.M.
version: To Be Filled By O.E.M.
serial: To Be Filled By O.E.M.
width: 64 bits
capabilities: smbios-3.0 dmi-3.0 smp vsyscall32
configuration: boot=normal chassis=desktop family=To Be Filled By O.E.M. sku=To Be Filled By O.E.M. uuid=7085C238-9C80-0000-0000-000000000000
*-core
description: Motherboard
product: X370 Killer SLI
vendor: ASRock
physical id: 0
serial: M80-A2017000120
*-firmware
description: BIOS
vendor: American Megatrends Inc.
physical id: 0
version: P5.10
date: 12/17/2018
size: 64KiB
capacity: 15MiB
capabilities: pci upgrade shadowing cdboot bootselect socketedrom edd int13floppy1200 int13floppy720 int13floppy2880 int5printscreen int9keyboard int14serial int17printer acpi usb biosbootspecification uefi
*-memory
description: System Memory
physical id: 10
slot: System board or motherboard
size: 8GiB
*-bank:0
description: [empty]
product: Unknown
vendor: 0000
physical id: 0
serial: Unknown
slot: DIMM 0
*-bank:1
description: DIMM DDR4 Synchronous Unbuffered (Unregistered) 2666 MHz (0.4 ns)
product: KHX2666C15D4/4G
vendor: Kingston
physical id: 1
serial: F02445ED
slot: DIMM 1
size: 4GiB
width: 64 bits
clock: 2666MHz (0.4ns)
*-bank:2
description: [empty]
product: Unknown
vendor: 0000
physical id: 2
serial: Unknown
slot: DIMM 0
*-bank:3
description: DIMM DDR4 Synchronous Unbuffered (Unregistered) 2666 MHz (0.4 ns)
product: KHX2666C15D4/4G
vendor: Kingston
physical id: 3
serial: EF2445ED
slot: DIMM 1
size: 4GiB
width: 64 bits
clock: 2666MHz (0.4ns)
*-cache:0
description: L1 cache
physical id: 12
slot: L1 - Cache
size: 384KiB
capacity: 384KiB
clock: 1GHz (1.0ns)
capabilities: pipeline-burst internal write-back unified
configuration: level=1
*-cache:1
description: L2 cache
physical id: 13
slot: L2 - Cache
size: 2MiB
capacity: 2MiB
clock: 1GHz (1.0ns)
capabilities: pipeline-burst internal write-back unified
configuration: level=2
*-cache:2
description: L3 cache
physical id: 14
slot: L3 - Cache
size: 8MiB
capacity: 8MiB
clock: 1GHz (1.0ns)
capabilities: pipeline-burst internal write-back unified
configuration: level=3
*-cpu
description: CPU
product: AMD Ryzen 5 1400 Quad-Core Processor
vendor: Advanced Micro Devices [AMD]
physical id: 15
bus info: cpu@0
version: AMD Ryzen 5 1400 Quad-Core Processor
serial: Unknown
slot: AM4
size: 2647MHz
capacity: 3450MHz
width: 64 bits
clock: 100MHz
capabilities: x86-64 fpu fpu_exception wp vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp constant_tsc rep_good nopl nonstop_tsc cpuid extd_apicid aperfmperf pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb hw_pstate sme ssbd sev ibpb vmmcall fsgsbase bmi1 avx2 smep bmi2 rdseed adx smap clflushopt sha_ni xsaveopt xsavec xgetbv1 xsaves clzero irperf xsaveerptr arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif overflow_recov succor smca cpufreq
configuration: cores=4 enabledcores=4 threads=8
*-pci:0
description: Host bridge
product: Family 17h (Models 00h-0fh) Root Complex
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 100
bus info: pci@0000:00:00.0
version: 00
width: 32 bits
clock: 33MHz
*-generic UNCLAIMED
description: IOMMU
product: Family 17h (Models 00h-0fh) I/O Memory Management Unit
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0.2
bus info: pci@0000:00:00.2
version: 00
width: 32 bits
clock: 33MHz
capabilities: msi ht bus_master cap_list
configuration: latency=0
*-pci:0
description: PCI bridge
product: Family 17h (Models 00h-0fh) PCIe GPP Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 1.1
bus info: pci@0000:00:01.1
version: 00
width: 32 bits
clock: 33MHz
capabilities: pci pm pciexpress msi ht normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:26 memory:fe900000-fe9fffff
*-storage
description: Non-Volatile memory controller
product: NVMe SSD Controller SM981/PM981
vendor: Samsung Electronics Co Ltd
physical id: 0
bus info: pci@0000:01:00.0
version: 00
width: 64 bits
clock: 33MHz
capabilities: storage pm msi pciexpress msix nvm_express bus_master cap_list
configuration: driver=nvme latency=0
resources: irq:50 memory:fe900000-fe903fff
*-pci:1
description: PCI bridge
product: Family 17h (Models 00h-0fh) PCIe GPP Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 1.3
bus info: pci@0000:00:01.3
version: 00
width: 32 bits
clock: 33MHz
capabilities: pci pm pciexpress msi ht normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:27 ioport:f000(size=4096) memory:fe600000-fe7fffff
*-usb
description: USB controller
product: Advanced Micro Devices, Inc. [AMD]
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0
bus info: pci@0000:03:00.0
version: 02
width: 64 bits
clock: 33MHz
capabilities: msi pm pciexpress xhci bus_master cap_list
configuration: driver=xhci_hcd latency=0
resources: irq:47 memory:fe7a0000-fe7a7fff
*-usbhost:0
product: xHCI Host Controller
vendor: Linux 5.0.0-13-generic xhci-hcd
physical id: 0
bus info: usb@1
logical name: usb1
version: 5.00
capabilities: usb-2.00
configuration: driver=hub slots=14 speed=480Mbit/s
*-usb
description: Mouse
product: Razer DeathAdder Elite
vendor: Razer
physical id: c
bus info: usb@1:c
version: 2.00
capabilities: usb-2.00
configuration: driver=usbhid maxpower=500mA speed=12Mbit/s
*-usbhost:1
product: xHCI Host Controller
vendor: Linux 5.0.0-13-generic xhci-hcd
physical id: 1
bus info: usb@2
logical name: usb2
version: 5.00
capabilities: usb-3.10
configuration: driver=hub slots=8 speed=10000Mbit/s
*-storage
description: SATA controller
product: Advanced Micro Devices, Inc. [AMD]
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0.1
bus info: pci@0000:03:00.1
version: 02
width: 32 bits
clock: 33MHz
capabilities: storage msi pm pciexpress ahci_1.0 bus_master cap_list rom
configuration: driver=ahci latency=0
resources: irq:52 memory:fe780000-fe79ffff memory:fe700000-fe77ffff
*-pci
description: PCI bridge
product: Advanced Micro Devices, Inc. [AMD]
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0.2
bus info: pci@0000:03:00.2
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:33 ioport:f000(size=4096) memory:fe600000-fe6fffff
*-pci:0
description: PCI bridge
product: 300 Series Chipset PCIe Port
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0
bus info: pci@0000:1d:00.0
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:35
*-pci:1
description: PCI bridge
product: 300 Series Chipset PCIe Port
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 1
bus info: pci@0000:1d:01.0
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:37 ioport:f000(size=4096) memory:fe600000-fe6fffff
*-network
description: Ethernet interface
product: I211 Gigabit Network Connection
vendor: Intel Corporation
physical id: 0
bus info: pci@0000:1f:00.0
logical name: enp31s0
version: 03
serial: 70:85:c2:38:9c:80
size: 100Mbit/s
capacity: 1Gbit/s
width: 32 bits
clock: 33MHz
capabilities: pm msi msix pciexpress bus_master cap_list ethernet physical tp 10bt 10bt-fd 100bt 100bt-fd 1000bt-fd autonegotiation
configuration: autonegotiation=on broadcast=yes driver=igb driverversion=5.4.0-k duplex=full firmware=0. 4-1 ip=<IP_ADDRESS> latency=0 link=yes multicast=yes port=twisted pair speed=100Mbit/s
resources: irq:36 memory:fe600000-fe61ffff ioport:f000(size=32) memory:fe620000-fe623fff
*-pci:2
description: PCI bridge
product: 300 Series Chipset PCIe Port
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 2
bus info: pci@0000:1d:02.0
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:38
*-pci:3
description: PCI bridge
product: 300 Series Chipset PCIe Port
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 3
bus info: pci@0000:1d:03.0
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:40
*-pci:4
description: PCI bridge
product: 300 Series Chipset PCIe Port
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 4
bus info: pci@0000:1d:04.0
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:41
*-pci:5
description: PCI bridge
product: 300 Series Chipset PCIe Port
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 6
bus info: pci@0000:1d:06.0
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:42
*-pci:6
description: PCI bridge
product: 300 Series Chipset PCIe Port
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 7
bus info: pci@0000:1d:07.0
version: 02
width: 32 bits
clock: 33MHz
capabilities: pci msi pm pciexpress normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:43
*-pci:2
description: PCI bridge
product: Family 17h (Models 00h-0fh) PCIe GPP Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 3.1
bus info: pci@0000:00:03.1
version: 00
width: 32 bits
clock: 33MHz
capabilities: pci pm pciexpress msi ht normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:28 ioport:e000(size=4096) memory:fe400000-fe5fffff ioport:e0000000(size=270532608)
*-pci
description: PCI bridge
product: Advanced Micro Devices, Inc. [AMD/ATI]
vendor: Advanced Micro Devices, Inc. [AMD/ATI]
physical id: 0
bus info: pci@0000:26:00.0
version: c1
width: 32 bits
clock: 33MHz
capabilities: pci pm pciexpress msi normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:45 memory:fe500000-fe503fff ioport:e000(size=4096) memory:fe400000-fe4fffff ioport:e0000000(size=270532608)
*-pci
description: PCI bridge
product: Advanced Micro Devices, Inc. [AMD/ATI]
vendor: Advanced Micro Devices, Inc. [AMD/ATI]
physical id: 0
bus info: pci@0000:27:00.0
version: 00
width: 32 bits
clock: 33MHz
capabilities: pci pm pciexpress msi normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:46 ioport:e000(size=4096) memory:fe400000-fe4fffff ioport:e0000000(size=270532608)
*-display
description: VGA compatible controller
product: Vega 20
vendor: Advanced Micro Devices, Inc. [AMD/ATI]
physical id: 0
bus info: pci@0000:28:00.0
version: c1
width: 64 bits
clock: 33MHz
capabilities: pm pciexpress msi vga_controller bus_master cap_list rom
configuration: driver=amdgpu latency=0
resources: irq:83 memory:e0000000-efffffff memory:f0000000-f01fffff ioport:e000(size=256) memory:fe400000-fe47ffff memory:c0000-dffff
*-multimedia
description: Audio device
product: Advanced Micro Devices, Inc. [AMD/ATI]
vendor: Advanced Micro Devices, Inc. [AMD/ATI]
physical id: 0.1
bus info: pci@0000:28:00.1
version: 00
width: 32 bits
clock: 33MHz
capabilities: pm pciexpress msi bus_master cap_list
configuration: driver=snd_hda_intel latency=0
resources: irq:80 memory:fe4a0000-fe4a3fff
*-pci:3
description: PCI bridge
product: Family 17h (Models 00h-0fh) Internal PCIe GPP Bridge 0 to Bus B
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 7.1
bus info: pci@0000:00:07.1
version: 00
width: 32 bits
clock: 33MHz
capabilities: pci pm pciexpress msi ht normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:29 memory:fe100000-fe3fffff
*-generic:0 UNCLAIMED
description: Non-Essential Instrumentation
product: Advanced Micro Devices, Inc. [AMD]
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0
bus info: pci@0000:29:00.0
version: 00
width: 32 bits
clock: 33MHz
capabilities: pm pciexpress bus_master cap_list
configuration: latency=0
*-generic:1
description: Encryption controller
product: Family 17h (Models 00h-0fh) Platform Security Processor
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0.2
bus info: pci@0000:29:00.2
version: 00
width: 32 bits
clock: 33MHz
capabilities: pm pciexpress msi msix bus_master cap_list
configuration: driver=ccp latency=0
resources: irq:76 memory:fe200000-fe2fffff memory:fe300000-fe301fff
*-usb
description: USB controller
product: Family 17h (Models 00h-0fh) USB 3.0 Host Controller
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0.3
bus info: pci@0000:29:00.3
version: 00
width: 64 bits
clock: 33MHz
capabilities: pm pciexpress msi xhci bus_master cap_list
configuration: driver=xhci_hcd latency=0
resources: irq:49 memory:fe100000-fe1fffff
*-usbhost:0
product: xHCI Host Controller
vendor: Linux 5.0.0-13-generic xhci-hcd
physical id: 0
bus info: usb@3
logical name: usb3
version: 5.00
capabilities: usb-2.00
configuration: driver=hub slots=4 speed=480Mbit/s
*-usb
description: Keyboard
product: CK370
vendor: SEMICO
physical id: 2
bus info: usb@3:2
version: 1.10
capabilities: usb-1.10
configuration: driver=usbhid maxpower=500mA speed=2Mbit/s
*-usbhost:1
product: xHCI Host Controller
vendor: Linux 5.0.0-13-generic xhci-hcd
physical id: 1
bus info: usb@4
logical name: usb4
version: 5.00
capabilities: usb-3.00
configuration: driver=hub slots=4 speed=5000Mbit/s
*-pci:4
description: PCI bridge
product: Family 17h (Models 00h-0fh) Internal PCIe GPP Bridge 0 to Bus B
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 8.1
bus info: pci@0000:00:08.1
version: 00
width: 32 bits
clock: 33MHz
capabilities: pci pm pciexpress msi ht normal_decode bus_master cap_list
configuration: driver=pcieport
resources: irq:31 memory:fe800000-fe8fffff
*-generic UNCLAIMED
description: Non-Essential Instrumentation
product: Advanced Micro Devices, Inc. [AMD]
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0
bus info: pci@0000:2a:00.0
version: 00
width: 32 bits
clock: 33MHz
capabilities: pm pciexpress bus_master cap_list
configuration: latency=0
*-storage
description: SATA controller
product: FCH SATA Controller [AHCI mode]
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0.2
bus info: pci@0000:2a:00.2
version: 51
width: 32 bits
clock: 33MHz
capabilities: storage pm pciexpress msi ahci_1.0 bus_master cap_list
configuration: driver=ahci latency=0
resources: irq:54 memory:fe808000-fe808fff
*-multimedia
description: Audio device
product: Family 17h (Models 00h-0fh) HD Audio Controller
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 0.3
bus info: pci@0000:2a:00.3
version: 00
width: 32 bits
clock: 33MHz
capabilities: pm pciexpress msi bus_master cap_list
configuration: driver=snd_hda_intel latency=0
resources: irq:82 memory:fe800000-fe807fff
*-serial
description: SMBus
product: FCH SMBus Controller
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 14
bus info: pci@0000:00:14.0
version: 59
width: 32 bits
clock: 66MHz
configuration: driver=piix4_smbus latency=0
resources: irq:0
*-isa
description: ISA bridge
product: FCH LPC Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 14.3
bus info: pci@0000:00:14.3
version: 51
width: 32 bits
clock: 66MHz
capabilities: isa bus_master
configuration: latency=0
*-pci:1
description: Host bridge
product: Family 17h (Models 00h-0fh) PCIe Dummy Host Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 101
bus info: pci@0000:00:01.0
version: 00
width: 32 bits
clock: 33MHz
*-pci:2
description: Host bridge
product: Family 17h (Models 00h-0fh) PCIe Dummy Host Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 102
bus info: pci@0000:00:02.0
version: 00
width: 32 bits
clock: 33MHz
*-pci:3
description: Host bridge
product: Family 17h (Models 00h-0fh) PCIe Dummy Host Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 103
bus info: pci@0000:00:03.0
version: 00
width: 32 bits
clock: 33MHz
*-pci:4
description: Host bridge
product: Family 17h (Models 00h-0fh) PCIe Dummy Host Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 104
bus info: pci@0000:00:04.0
version: 00
width: 32 bits
clock: 33MHz
*-pci:5
description: Host bridge
product: Family 17h (Models 00h-0fh) PCIe Dummy Host Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 105
bus info: pci@0000:00:07.0
version: 00
width: 32 bits
clock: 33MHz
*-pci:6
description: Host bridge
product: Family 17h (Models 00h-0fh) PCIe Dummy Host Bridge
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 106
bus info: pci@0000:00:08.0
version: 00
width: 32 bits
clock: 33MHz
*-pci:7
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 0
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 107
bus info: pci@0000:00:18.0
version: 00
width: 32 bits
clock: 33MHz
*-pci:8
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 1
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 108
bus info: pci@0000:00:18.1
version: 00
width: 32 bits
clock: 33MHz
*-pci:9
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 2
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 109
bus info: pci@0000:00:18.2
version: 00
width: 32 bits
clock: 33MHz
*-pci:10
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 3
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 10a
bus info: pci@0000:00:18.3
version: 00
width: 32 bits
clock: 33MHz
configuration: driver=k10temp
resources: irq:0
*-pci:11
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 4
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 10b
bus info: pci@0000:00:18.4
version: 00
width: 32 bits
clock: 33MHz
*-pci:12
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 5
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 10c
bus info: pci@0000:00:18.5
version: 00
width: 32 bits
clock: 33MHz
*-pci:13
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 6
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 10d
bus info: pci@0000:00:18.6
version: 00
width: 32 bits
clock: 33MHz
*-pci:14
description: Host bridge
product: Family 17h (Models 00h-0fh) Data Fabric: Device 18h; Function 7
vendor: Advanced Micro Devices, Inc. [AMD]
physical id: 10e
bus info: pci@0000:00:18.7
version: 00
width: 32 bits
clock: 33MHz
*-scsi
physical id: 1
logical name: scsi4
capabilities: emulated
*-disk
description: ATA Disk
product: SanDisk SD9SN8W2
physical id: 0.0.0
bus info: scsi@4:0.0.0
logical name: /dev/sda
version: 2027
serial:<PHONE_NUMBER>98
size: 238GiB (256GB)
capabilities: partitioned partitioned:dos
configuration: ansiversion=5 logicalsectorsize=512 sectorsize=512 signature=9239794d
*-volume:0
description: Windows NTFS volume
physical id: 1
bus info: scsi@4:0.0.0,1
logical name: /dev/sda1
version: 3.1
serial: c47f629f-f7a9-cc43-8401-f9a29360897d
size: 547MiB
capacity: 549MiB
capabilities: primary bootable ntfs initialized
configuration: clustersize=4096 created=2018-12-17 00:57:25 filesystem=ntfs label=系统保留 modified_by_chkdsk=true mounted_on_nt4=true resize_log_file=true state=dirty upgrade_on_mount=true
*-volume:1
description: Windows NTFS volume
physical id: 2
bus info: scsi@4:0.0.0,2
logical name: /dev/sda2
version: 3.1
serial: 9c6273a9-e459-bf4a-b81a-650bdbd1ab8b
size: 237GiB
capacity: 237GiB
capabilities: primary ntfs initialized
configuration: clustersize=4096 created=2018-12-17 00:57:27 filesystem=ntfs state=clean
*-volume:2
description: Windows NTFS volume
physical id: 3
bus info: scsi@4:0.0.0,3
logical name: /dev/sda3
version: 3.1
serial: 521b-e21e
size: 803MiB
capacity: 804MiB
capabilities: primary ntfs initialized
configuration: clustersize=4096 created=2019-04-27 15:23:28 filesystem=ntfs modified_by_chkdsk=true mounted_on_nt4=true resize_log_file=true state=dirty upgrade_on_mount=true
*-network
description: Ethernet interface
physical id: 1
logical name: docker0
serial: 02:42:d0:b9:24:43
capabilities: ethernet physical
configuration: broadcast=yes driver=bridge driverversion=2.3 firmware=N/A ip=<IP_ADDRESS> link=no multicast=yes

I switched to docker environment using tf-rocm 1.14 and it seems to be a lot faster:

2019-05-11 22:56:36.396880: I tensorflow/core/kernels/conv_grad_filter_ops.cc:872] running auto-tune for Backward-Filter
1940/10000 [====>.........................] - ETA: 10:09:16 - loss: 3.6436 - regression_loss: 2.5015 - classification_loss: 1.14222019-05-11 22:56:53.392529: I tensorflow/core/kernels/conv_grad_filter_ops.cc:872] running auto-tune for Backward-Filter
1950/10000 [====>.........................] - ETA: 10:06:14 - loss: 3.6418 - regression_loss: 2.5007 - classification_loss: 1.14102019-05-11 22:57:11.617794: I tensorflow/core/kernels/conv_grad_filter_ops.cc:872] running auto-tune for Backward-Filter
2019-05-11 22:57:19.301102: I tensorflow/core/kernels/conv_grad_input_ops.cc:984] running auto-tune for Backward-Data
2019-05-11 22:57:20.477139: I tensorflow/core/kernels/conv_grad_filter_ops.cc:872] running auto-tune for Backward-Filter

And to make sure it isn't a configuration problem, I copied the tensorflow-1.14.0rc0-cp35-cp35m-linux_x86_64.whl from docker to the native environment and installed via pip3 (user mode)
and the training also seems to be faster. (10 hours vs 60 hours)

Thank you for the information.
FYI, the autotuning steps are required by MIOpen on the first set of kernel launches, after that the compiled MIOpen kernels would be saved under ~/.cache/miopen folder for later deployment.
During the autotuning stage, the time would be mostly spent on the compilation, therefore the GPU utilization rate should be low. You can actually keep the compiled kernels (by committing your docker image), then the autotuning would be much faster when you run it again.
Since you mentioned that the GPU avgpwr would spike to 220W after autotuning, it seems like the GPUs were under considerable good utilization rates for training.

Thank you for the information.
FYI, the autotuning steps are required by MIOpen on the first set of kernel launches, after that the compiled MIOpen kernels would be saved under ~/.cache/miopen folder for later deployment.
During the autotuning stage, the time would be mostly spent on the compilation, therefore the GPU utilization rate should be low. You can actually keep the compiled kernels (by committing your docker image), then the autotuning would be much faster when you run it again.
Since you mentioned that the GPU avgpwr would spike to 220W after autotuning, it seems like the GPUs were under considerable good utilization rates for training.

@sunway513 Thanks a lot! That is a really helpful piece of information.

Hi @Hycdog , in fact, your approach is recommended :-)
When ROCm or MIOpen packages get upgraded, it would be desired to clean up your miopen cache if you'd like to have refreshed kernels generated by the new environment (e.g. faster kernels with newer MIOpen package).
Alternatively, you might consider using docker images to retain the caches and environment for later reference.
And please note that mostly it's safe to run slightly older docker images on newer ROCm kernels drivers, e.g. you can run docker images built with ROCm2.3 on ROCm2.4 rock-dkms kernel driver without issue.

Hi @Hycdog I'll close this issue for now, please let me know if you have further questions :-)


"transitive-package-only-prereleases-in-range" doesn't follow the spec

The scanrio is the following currently:
{
    "name": "transitive-package-only-prereleases-in-range",
    "description": "The user requires package `a` which has a dependency on a package which only matches prerelease versions but they did not include a prerelease specifier.",
    "root": {
        "requires": [
            "a"
        ]
    },
    "packages": {
        "a": {
            "versions": {
                "0.1.0": {
                    "requires": [
                        "b>0.1"
                    ]
                }
            }
        },
        "b": {
            "versions": {
                "0.1.0": {},
                "1.0.0a1": {}
            }
        }
    },
    "expected": {
        "satisfiable": false,
        "explanation": "Since there are stable versions of `b` available, the prerelease version should not be selected without explicit opt-in. The available version is excluded by the range requested by the user."
    }
},

In short, the idea is because a prerelease requirement is not opted into then even though a prerelease version is available it is not selected.
However, this is explictly again the following line in the spec (https://packaging.python.org/en/latest/specifications/version-specifiers/#handling-of-pre-releases):

By default, dependency resolution tools SHOULD:

...
accept remotely available pre-releases for version specifiers where there is no final or post release that satisfies the version specifier
...

In this case there is no final or post release that satisfies the version specifier, and therefore the dependency resolution SHOULD accept the removetely available pre-release.
Currently neither uv nor pip follow the spec here, pip needs an overhaul on prereleases and uv has deicded not to follow the spec due to design choices, but poetry does follow the spec and does find this satisfiable.
If packse is attempting to follow the spec, and not be a catalogue of uv's design choices, this should be set to "satisfiable": true and uv should mark this as XFAIL. I'll be happy to make a PR.

The exact meaning of this paragraph is hard to interpret because it was written before backtracking resolver were a thing in python and the main concern was backwards compat to pre-PEP 440 versions. From Donald Stufft:

As the one of the original author of PEP 440, I can say pretty definitively that the reason that the PEP says this:

Pre-releases of any kind, including developmental releases, are implicitly excluded from all version specifiers, unless they are already present on the system, explicitly requested by the user, or if the only available version that satisfies the version specifier is a pre-release.

and not this

Pre-releases of any kind, including developmental releases, are implicitly excluded from all version specifiers, unless they are already present on the system or explicitly requested by the user.

Is because there were widely used packages at the time that had versions which didn’t technically comply with PEP 440 (because they predated PEP440) and got interpreted as prerelease versions, and we were trying to prevent breakages (a lot of effort in PEP 440 and a lot of weird edge cases came from trying to gain another 1%-2% of compatibility with existing versions on PyPI). One such package at the time was pytz which used versions like 2005a.
There were also a number of packages that were only available as pre-releases (for one reason or another) and we wanted to avoid additional breakages.
At the time of PEP 440, none of the Python installers had any sort of real dependency resolving or backtracking or anything of that nature, so the implications of that statement, wrt to how it impacted backtracking/resolving simply wasn’t a thing that existed to be considered. I suspect this is why (1) from above is built into the Finder instead of into the resolver as well.

From a user perspective, i think the current behaviour makes sense, at least in uv i wouldn't want to fix it. (Not to say that uv's prerelease behaviour doesn't need it improving)

Yes, I started that thread, and I don't think it's relevant here because no backtracking is occuring.
This is a direct application of the specifier to the versions available, I don't believe there is any ambiguity.
Users also seem happy with poetry's behavior, and it compliesnto the spec here.


Count characters in password example instead of bytes

A password example contains a typical Rust bug when String's number of bytes is checked instead of characters.
Password::interact_on() doc is updated here too.

Done


Object operations queue

Question
Are the objects and boxes operations safe to ignore "await"?  Are they queue'd ?
Can we do :
box.add(object)
object.save();
box.values....

or we need to:
await box.add(object)
await object.save();
box.values....

They are queued and it is safe not to await the operations. :+1:


342 Web: Giving Account Styles

Fixes #342
Creator

[ ] Build relevant tests if any apply
[ ] Ensure there are no new warnings
[ ] Upload an animated GIF showcasing the solution (if it applies)
[ ] Set a relevant reviewer

Reviewer

[ ] Run test and make sure all tests pass
[ ] Review function and form on iOS
[ ] Review function and form on Android
[ ] Review function and form on Web
[ ] Review new test logic

Removed asModal from being used in AppRouter on these routes.

Cannot review this PR until the expo build passes. Have you looked into why it might be failing?

@IsaacHardy In the details it's stating

This project does not exist
Experience with name '@newspring-builds/newspring-326-giving-account-styles' does not exist.

I'm unsure how exactly this works.

Expo builds sometimes just fail. It's dumb @conrad-vanl has had it on the low priority todo list for a while to look into it. We should be able to verify this works locally via yarn start (native) and yarn web. The only test that is required to pass is CI. Assuming it works locally and tests are passing everywhere it should be able to be reviewed and merged.

@burkeshartsis @cdanwards I've tested on both web and mobile and the issue is resolved.

FWIW, hitting "restart job" on travis usually fixes it

Travis does the expo build


sys-kernel/bootengine: Add DNS retry waiter for OEM sysext fallback

This pulls in
https://github.com/flatcar/bootengine/pull/66
to add a workaround for missing DNS resolve retry.
How to use
Testing done
see linked PR

[ ] Changelog entries added in the respective changelog/ directory (user-facing change, bug fix, security fix, update)
[ ] Inspected CI output for image differences: /boot and /usr size, packages, list files for any missing binaries, kernel modules, config files, kernel modules, etc.

Backported to Alpha


Avoid partial writes to instances

In order to avoid data corruption on instance sub-tress this change explicitely pulls down the latest state from the datastore.

@soundcloud/iss

:+1:


curl: (28) Resolving timed out after 3000 milliseconds

系统：linux x86_64 Openwrt Koolshare Router V2.37
内核：5.4.108
Version  20.10.6 (API: 1.41)
网络hosts模式下，报如下错误，拉取镜像创建容器都没问题，网络应该是通的，但是配置文件下载不下来。
[INFO] Downloading 'aria2.conf' ...
curl: (28) Resolving timed out after 3000 milliseconds
curl: (28) Resolving timed out after 3000 milliseconds
curl: (28) Resolving timed out after 3000 milliseconds
[ERROR] 'aria2.conf' download error, retry ...
[INFO] Downloading 'aria2.conf' ...

Same issue here

Same issue here... As this is nearly 3 months old, it doesn't look good. :/

Although this is an old issue, I want to point out that the reason behind this is that alpine, or the musl based distros have been toxic when IPv6 is not available. The DNS resolver of alpine will treat DNS does not response with AAAA queries as "timeout" and doesn't even try to fallback to IPv4. IPv4-only DNS is still very common because the ISPs are too lazy to support dual-stack, and some users intentionally filters out AAAA queries because a lot of CDN servers are IPv4 only.
Rebuild this docker image using a glibc based distro like debian could solve the problem at the cost of much larger (about 10 times larger)image size.


Syntax error in example on context documentation page

In the current Dynamic Context example, there are following issues

The <Page> and <Section> component definition is not provided in example code. It causes syntax issues and needs to be removed manually.
The <ThemedButton> component has background color style but no style for text color.
The default text of the ThemedButton component is not present due to which the default case on app.js file does not appear properly.

Current state

After fix

These examples were originally meant to be presented as example app code, not necessarily runnable examples. I guess we can change that if the examples represent realistic use cases and not oversimplified ones.

@alexreardon I understand but generally with example, we expect to use it to try and learn from it(which I did to understand context and it didn't work due to these error). We have used both foreground and background colors and not using it. I felt that this was not checked at first and opened the issue as well as PR for the fix.

I think I was mentioned by mistake

Sorry, @alexreardon. Was mentioning @alexkrolick

Hello @akanshgulati!
Unfortunately the legacy docs pages are no longer maintained, making this issue outdated.
Let me close this, but if you something that could be improved in the latest of react.dev, please open new issue.
Thank you!


Serverside RUI, but it doesn't stink ( hopefully )

Allows servers to use rui presets on clients, clients dont need to update to play
Polls
void function NSCreatePollOnPlayer( entity player, string header, array<string> options, float duration );
int function NSGetPlayerResponse( entity player );

Large message
void function NSSendLargeMessageToPlayer( entity player, string title, string description, float duration, string image );

Info
void function NSSendInfoMessageToPlayer( entity player, string text );

PopUp
void function NSSendPopUpMessageToPlayer( entity player, string text );

Announcement
void function NSSendAnnouncementMessageToPlayer( entity player, string title, string description, vector color, int priority, int style );

Status
void function NSCreateStatusMessageOnPlayer( entity player, string title, string description, string id );
void function NSEditStatusMessageOnPlayer( entity player, string title, string description, string id  );
void function NSDeleteStatusMessageOnPlayer( entity player, string id  );

Me when firefox cached the page and I didn't see the reviews :)

The spaces between the numbers and the bracket are not always in Respawn code but Gecko wants them to be there. The ones between the numbers themselves are always there.
Pls fix this as a batch commit

this worsens readability and I've seen respawn formatting vectors as <x, y, z> more often than < x, y, z >

The spaces between the numbers and the bracket are not always in Respawn code but Gecko wants them to be there. The ones between the numbers themselves are always there.
Pls fix this as a batch commit

this worsens readability and I've seen respawn formatting vectors as <x, y, z> more often than < x, y, z >

Counterpoint: <x, y, z> creates a compile error if x is negative so i prefer the other option

ok I changed my mind I just used <(x), y z> for no reason whatsoever when a better option exists

you can also vector(x, y, z) iirc

Someone giving the suggested changes a final look and test maybe would be appreciated <3

Someone giving the suggested changes a final look and test maybe would be appreciated <3

What changes are you referring to? I thought only formatting has been changed so the test mod I sent earlier should still work fine?

Someone giving the suggested changes a final look and test maybe would be appreciated <3

What changes are you referring to? I thought only formatting has been changed so the test mod I sent earlier should still work fine?

The commits that were added since the last review basically. I think it was just formatting as you said (don't have the setup rn to check). For testing, just running newest version of PR with your mod again should be enough. It's just to make sure there weren't any accidental errors syntax or whatever added since last change. Usually I'd do this myself but I'm on holiday atm :P

 @GeckoEidechse everything works now and images are fixed. This is imo ready to merge

Aight, Imma put my trust in you :P
Time to merge :D

Welp, it's been fun not having to cherry-pick commits for patch releases ._.

WOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO


Use the upcoming imagery offset database

Manually adjusting every layer is hard, non-obvoius and usually unneeded task which duplicates the efforts of previous mappers in an area. In a week or two I'm announcing the imagery offset server which allows users to determine an offset for each area once, and then just use the shared value.
See the description and API documentation. There is also a map and a list (refreshes every hour).
Also I'd like you to check the alpha-version of a JOSM plugin (it should be put into ~/.josm/plugins). It shows that the user interface mostly consists of informational messages and a dialog for choosing an offset. The latter is the most important part: its design should give users enough information to correctly choose an offset and rid them of doing the same work twice.
I plan to release beta on Monday or Tuesday, and before that I'm open to any suggestions, even those which could reqiuire structural changes to the database and the plugin.

The offset db has been super useful during the recent realignment of over 50,000km of roads in Taiwan by the data team at Mapbox. Both Bing and Mapbox imagery has varying offset throughout the country and we now run the risk of the data being moved back to the incorrect location by new users who are unaware of the concepts of offsets
Even a warning message in areas with known imagery misalignments like the one in JOSM could be a huge help for beginners.

It seems like a lot of southeast Asia is affected by this issue.

Can I "up" this? It would be great to notify iD users that the imagery can be offset, especially outside US / Western Europe. Or at least have an option to download the nearest offset from the database — we can promote this option outside of iD, I guess.

Can I "up" this? It would be great to notify iD users that the imagery can be offset, especially outside US / Western Europe

Sure, I'll label it as  since it does affect a lot of users.

wip at #4166

In
https://wiki.openstreetmap.org/wiki/Talk:Using_Imagery#Results_of_years_of_.22Adjust_imagery_offset.22_use I propose a solution based on having a grey framework of official high contrast edge locations, which they naturally will want to pull the imagery to align with, before editing.

Is this implemented? If not it may be re-opened, does not it?


Please add ability to Copy the Shortened Link

Is your feature request related to a problem? Please describe.
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
Describe the solution you'd like
Please add a copy button once the URL is shortened
Describe alternatives you've considered
A clear and concise description of any alternative solutions or features you've considered.
Additional context
Add any other context or screenshots about the feature request here.

We have tried to resolve this issue. We have added some code but we don't have permission to push the code changes to this repository. Hopefully this can help you.

SALIN LINK = COPY LINK


ARROW-5832: [Rust] Fix build break.

Rust build breaks because some changes in array builder. However this error is not detected in ci scripts because missing --all-targets in cargo build command.

@sunchao @andygrove @nevi-me  Please help to review.


uncheck ’+1‘ operation of large integer to save gas

Large integers such as uint128, uint256 are unlikely to overflow in the +1 operation. So adding unchecked to these statements can save much gas.

PR Checklist

[ ] Tests
[ ] Documentation
[ ] Changeset entry (run npx changeset add)

Please submit contributions to (openzeppelin-contracts)[https://github.com/OpenZeppelin/openzeppelin-contracts] instead of directly to this repository. Review the Contributing Guidelines. For optimizations please provide repeatable benchmarks.


Added handover doc

Description
Added doc detailing property handover functionality
Primary reviewers
@ElleEss @anne-edwards

@ElleEss and @anne-edwards , please see @Vatyx comment. Thoughts?

@Vatyx @m-samiec I think we've been through this before and @ElleEss  and I were keen on using "server-worker" and "client-worker" throughout, to avoid people thinking about standard client-server architecture.
I'll copy Laura's rationale in here (from her comment in the https://brevi.link/separate-client-workerdoc).

Just working on the Unreal GDK docs and we need to explain the difference between traditional client-server architecture and SpatialOS multiple server-worker and client-worker architecture. It's clear from this that we have to continue to say "server worker" and "client worker" because to shorten either to "server" or "client" will be incredibly confusing because we are making a distinction.
As part of that, the term "server-worker" and "client-worker" with the hyphen makes it much easier to see the word server-worker as one word and and client-worker as one word. It makes the explanation of the difference crystal clear. It also means that we are not tempted to shorten to "server" which, I now realise, can easily get confused with the physical machine in the rack or the traditional server in the client-server architecture. Given this, I vote for a hyphen and for the terms to always be; server-worker, client-worker.

@anne-edwards Thanks. Should we be making this change to other docs as well then?

@m-samiec I'll do a search through the docs and make a separate PR for this. Looks like there shouldn't be too much to update.


Check for a new .env file after certain CommandBox commands

Here's how I envision this one going:
Using both a preCommand and postCommand interceptor, check if the command executed changed the current directory.  If it did, check for an .env file.  If one is found, load it and inform the user in the console.

This should be fixed by https://github.com/elpete/commandbox-dotenv/pull/9 which more generically just loads env vars before any command, but only into the environment context of that command, so they automatically clean up after.


Tonomy Telos Node

Author
@theblockstalk

Product(s)
Tonomy ID

Status
Idea, Draft, Proposal, In Progress, Done, Closed

User Story:
As a {{ subject }} Tonomy Network Supporter
I want to {{ action }} Run a Telos, EOS and WAX Node and monitor it
So that I can {{ purpose }} so that we as the Tonomy Foundation can increase our reliability and uptime garantees
As a Business Developer of Tonomy
I want to be able to recover the account of the node wallet
So that We can retrieve the money if the server goes down
Tip: be explicit!
How do you see this being acomplished?
We create an cloud server in Hertzer that runs a telos node, a wax Node, and a EOS node.
We install Prometheuous on this cloud server for active monitoring
We install Nagios on this Cloud server for uptime garentees, and system analysis
This tasks should NOT be completed by Jack! and MUST be a team effort.
Who should do this work (e.g. business team, developers...) and what would they do. Share your vision to help us understand the story.
How does this help the Tonomy Foundation mission?
How will this help the goals of the product, its users and/or the Tonomy Foundation? Who does it impact?
It impacts Roger and our ability to support him
Mission: https://discord.com/channels/1029385699071381524/1035461305089396756/1044647425178079384
Test Scenario
Feature: Server is up on Hertzer and is making money
Background: EOS and related technology is a way to synchronize over the network
Given User Chris with his account
And Website is Hertzer
And Server IP is XXX
And password is stored in BitVault
And password & Username for the server is stored in Bitvault
And password & Username for the node wallet is stored in Bitvault
And Seed Phrase is stored in Bitvault Protected by password
Scenario:
Given Chris can access BitVault
When Chris Log's in with his account and password
Then there is a Hertzer server with IP XXX that he can login to
when Chris tries to login with the servername and password
then He is able to login to the server
when Chris goes to localhost://Prometeuous
Then he sees the uptime of the node
When Chris goes to the account of the Node
Then He sees the account balance has increased
Scenario: Mike recovers account
Given Mike can access bitvault, and knows the type of wallet, Mike gets the seed phrase from Bitvault By entering his own password
When Mike tries to recover the account with the seedphrase
Then he sees the current balance of the account

this needs to be changed. by running a node we don't automatically get money.
we need to be voted in based on reputation, then we run infrastructure, then they vote for us and we can receive


ClientResponse.release isn't a coroutine

Therefore it should not be one in the MockClientResponse class.
https://github.com/aio-libs/aiohttp/blob/d0af887e3121d677b32339adff6540b6de01d167/aiohttp/client_reqrep.py#L832

@stj thanks!


Error: Request had invalid authentication credentials. Expected OAuth 2 access token, login cookie or other valid authentication credential

Hi, this errors has being occurring intermittently on my Cloud Function using Spanner.
The thing is that this error never occured until yesterday (march 5th, 4:09PM -3:00).
Could you please help me to workaround this issue?
Environment details

OS: Google Cloud Functions
Node.js version: -
npm version: -
@google-cloud/spanner version:  ^1.0.2

Steps to reproduce
Not deterministic

I've jsut updated spanner client version to "^1.1.0" to check if it solves the issue.
But as no new releases has been released yesterday regarding spanner or auth, I'm skeptic this will work.

Interesting. We did recently upgrade the auth layer, google-auth-library.
Tagging a related issue: https://github.com/google/google-auth-library-nodejs/issues/168
What version were you using before, when the error started?

I was using ^1.0.2 for some weeks already and no errors of this kind were noticed before yesterday.
I didn't change any code yesterday, I have just updated the versions (30 minutes ago).

This is going to be a hard one to attempt to reproduce. Could you work up any more details about the calls you're making that might lead to this error? If we're still stuck with only this error to go by, I'll move this over to the auth repo, to see if that team can come up with anything.
One thing that might help, if you're not already doing it. Instantiate the Spanner client inside of the exported GCF function, itself, i.e.
const Spanner = require('@google-cloud/spanner')
- const spanner = new Spanner()

module.exports.fn = () => {
+  const spanner = new Spanner()
}

Hey @hugoluchessi, just wanted to check in for any updates you might have before I move this over.

This issue was moved to https://github.com/google/google-auth-library-nodejs/issues/334.

Sorry for the late response.
But this issue can remain closed, I've updated all dependencies on my project and this issue didn't happen anymore.
Thanks for the help.


Add @SafeVarargs annotation to Cli.java

Summary:
Cli.CliBuilder and Cli.GroupBuilder have
public CliBuilder<C> withCommands(Class<? extends C> command, Class<? extends C>... moreCommands);

public GroupBuilder<C> withCommands(Class<? extends C> command, Class<? extends C>... moreCommands)

Both of them use the moreCommands array in a typesafe way, which means
they could be annotated with @SafeVarargs. They were not, though, which
generates unchecked warnings at call sites.
Note that the methods must be made final for SafeVarargs to be valid.
A description of SafeVarargs is
https://docs.oracle.com/javase/specs/jls/se8/html/jls-9.html#jls-<IP_ADDRESS>
Test plan: mvn clean verify passes on 8u141

@dain @electrum @martint

Merged, thanks!


rule(Outbound Connection to C2 Servers): Add a new rule to detect out…

…bound connections to c2 servers
Signed-off-by: kaizhe<EMAIL_ADDRESS>
What type of PR is this?

Uncomment one (or more) /kind <> lines:

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/kind feature

If contributing rules or changes to rules, please make sure to also uncomment one of the following line:

/kind rule-update

/kind rule-create

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Uncomment one (or more) /area <> lines:

/area build

/area engine

/area rules

/area tests

/area proposals

What this PR does / why we need it:
Add a new rule to detect outbound connection to c2 servers. Users are required to maintain the c2 server ip list.
Which issue(s) this PR fixes:

Fixes #
Special notes for your reviewer:
Does this PR introduce a user-facing change?:

rule(Outbound Connection to C2 Servers): Add a new rule to detect outbound connections to c2 servers

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LGTM label has been added.  Git tree hash: 5f779ea089bf7285c68bca7f738d01ca4336d487

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Needs a rebase on top of the master.

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(Linux) Find out why GetStacktrace() takes so long. May require refactoring.

Issue is closed automatically by CI. Commit: 7bfb03079e680a921a1bcbfdba3e04eee0818b1d


Unhandled Rejection (SecurityError)

When opening the blog on Firefox an Unhandled Rejection (SecurityError) is raised

It's a known issue.
It's coming from firefox settings.
I need to find a way to deactivate the xarning in production.
https://github.com/gatsbyjs/gatsby/issues/16076

Apparently it's not visible with gatsby build.

Apparently it's not visible with gatsby build.


fix(notification): scroll position resetting & minor code cleanup

PR Type

[x] Bugfix
[ ] Feature
[ ] Refactoring

Context

[x] Closes #6644
[ ] Requires deployment <snek/rubick/worker>

Before submitting pull request, please make sure:

[x] My contribution builds clean without any errors or warnings
[x] I've merged recent default branch -- main and I've no conflicts
[x] I've tried to respect high code quality standards
[x] I've didn't break any original functionality

Optional

[ ] I've tested it at </ksm/collection>
[ ] I've tested PR on mobile
[ ] I've written unit tests 🧪
[ ] I've found edge cases

Did your issue had any of the "$" label on it?

[x] Fill up your DOT address: Payout

Community participation

[x] Are you at KodaDot Discord?

Screenshot 📸

[ ] My fix has changed something on UI; a screenshot is best to understand changes for others.

Copilot Summary

🤖 Generated by Copilot at 769abca
Refactored the code for opening the shopping cart modal from the navbar. Moved the logic and configuration from ShoppingCartModalConfig.ts and ShoppingCartButton.vue to Navbar.vue to improve code organization and performance.

🤖 Generated by Copilot at 769abca

ShoppingCartButton
Simpler, no more emit -
Autumn leaves falling

pay 30 usd
@prury will have look if everything clicks well:)

😍 Perfect, I’ve sent the payout
💵 $30 @ 5 USD/DOT ~ 6 $DOT
🧗 16UcV9V6nVvPYdHz98ymUKmNLkzjCEU5sbKJMi7hxYyTHjzR
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🪅 Let’s grab another issue and get rewarded!
🪄 github.com/kodadot/nft-gallery/issues

still happens on mobile

still happens on mobile

Will check on it later and provide a fix
Thank you


Restore mongodb Dump > 97mb

Hi,
the volume for the restore Job is limited to 97mb. So when I try to restore a dump > 97 mb I get out of disk error:
tar: xxx.metadata.json: Cannot write: No space left on device

volume from df -h:
/dev/zd640                                                97M   97M  1.0K 100% /var/lib/flynn/volumes/zfs/mnt/ext2/flynn1-b4ae79d1-1e6b-45c5-9c70-d2233d65c6c4

Is there a possibility to increase the volume size? I would not want to open access to mongodb and use mongorestore, but that would be a possibility.

Flynn has a default limit of 100MB in containers. See this comment:
https://github.com/flynn/flynn/issues/3863#issuecomment-274298690

Thanks @kwando
Its working with increased slug builder.

actually the mongodb restore command seams to not use the slugbuilder size:
$ flynn limit
worker:       cpu=1000  max_fd=10000  memory=1GB  temp_disk=100MB
console:      cpu=1000  max_fd=10000  memory=1GB  temp_disk=100MB
rake:         cpu=1000  max_fd=10000  memory=1GB  temp_disk=100MB
slugbuilder:  cpu=1000  max_fd=10000  memory=1GB  temp_disk=250MB
web:          cpu=1000  max_fd=10000  memory=1GB  temp_disk=100MB

$ df -h
/dev/zd816                                                97M  7.5M   90M   8% /var/lib/flynn/volumes/zfs/mnt/ext2/flynn1-f8e2d3b5-73d9-43a9-9a10-18e2c49426f

Maybe another job type is used to restore the db?

The proper solution to this is to re-use the data volume for one-off job support to attach a data volume to stream the backup to.


Update to tokio 1.0

Will be rebased to resolve conflicts with Cargo.lock once #87 is merged and reqwest 0.11 is released

reqwest 0.11 is out, so there are not more blockers for us to upgrade to tokio 1.0

reqwest 0.11 is out, so there are not more blockers for us to upgrade to tokio 1.0


WFLY-4515 JGroupsModel#VERSION1_3_0 is missing; no transformations ha…

…ppen for EAP 6.4.x
https://github.com/jbossas/jboss-eap/blob/EAP_6.4.3.CR2-dev/clustering/jgroups/src/main/java/org/jboss/as/clustering/jgroups/subsystem/JGroupsExtension.java#L63

Windows Build 2414 is now running using a merge of 54102f87b4608bc673a363c60e4fdf878cedc57d

Linux with security manager Build 2229 is now running using a merge of 54102f87b4608bc673a363c60e4fdf878cedc57d

Linux Build 7367 is now running using a merge of 54102f87b4608bc673a363c60e4fdf878cedc57d

Linux with security manager Build 2229 outcome was SUCCESS using a merge of 54102f87b4608bc673a363c60e4fdf878cedc57d
Summary: Tests passed: 889, ignored: 288 Build time: 0:06:41

Windows Build 2414 outcome was SUCCESS using a merge of 54102f87b4608bc673a363c60e4fdf878cedc57d
Summary: Tests passed: 3082, ignored: 368 Build time: 0:50:48

Linux Build 7367 outcome was SUCCESS using a merge of 54102f87b4608bc673a363c60e4fdf878cedc57d
Summary: Tests passed: 3082, ignored: 368 Build time: 0:51:25

:+1:


无法关闭vscode，运行一次vscode就会出现很多vscode界面

VSCode Version:
OS Version:

Steps to Reproduce:

Does this issue occur when all extensions are disabled?: Yes/No

Translation:

Can't close vscode, multiple vscode windows open when launching vscode


Update cluster/README.md

@davidopp

@erictune can you take a look at this and suggest any changes you think are appropriate? You are more familiar with this directory than me.

Ping @erictune


Custom Object detection model False Positives

I am currently training a model to detect different bottles, at the moment in my ImageSets folder there are 4 text files 'train.txt', 'test.txt', 'val.txt' and 'trainval.txt'. I noticed when I started training using train_ssd.py the training dataset takes from my 'trainval.txt' and the validation dataset takes from 'test.txt'. May I know if 'train.txt' and 'val.txt' is still needed and how should I allocate my dataset (train 10%, test 10%, val 10% , trainval 70%)?

Update, I tried training it using 70% on trainval, 10% on the rest and it was successful but after exporting the model to onnx and running it on terminal using detectnet there are a lot of false positives. May I know if I am allocating the ImageSets wrongly?

It was supposed to detect bottles only but I noticed it still detects the objects from "detectnet /dev/video0" where it still detects other objects such as person, vase, clock, tv but now it detects them and changes the list to Soya and Tea only. (Photo attached of it detecting 'tea' is actually detected as 'clock' when I run "detectnet /dev/video0")
I've tried allocating my Imagesets differently and they all had the same result, I also tested them on Jetson nano and Jetson Tx2.  This is my first time encountering this issue, I've successfully done a gesture recognition in the pass and had no problems. I really need help.

Update: I did everything again and think time instead of collecting images via phone and annotating it with labelimg I just launched the camera-capture /dev/video0, got 250 for train and 40 for test and val. Trained it at 80 epochs (previously 50) and now it works perfectly. I think I did something wrong using the previous method, but I still don't know how to fix it for future use.

OK, it sounds like you collected a better dataset that was captured with the actual camera you are using, and trained it for more epochs.
Also, note that if you re-train or re-export your model to ONNX, you should delete the .engine file so that TensorRT re-generates it based on the new model.

Hello Dusty-nv,
I'm facing the same issue that chngerng faced in the thread https://github.com/dusty-nv/jetson-inference/issues/1494. can you please let me know how can solve this issue? I trained 700 images and run 500 epochs and still facing the same issue.
environment: Jetson nano and followed your wiki https://github.com/dusty-nv/jetson-inference/blob/master/docs/detectnet-console-2.md#detecting-objects-from-the-command-line
"Detecting false object with 90% accuracy".
Any help will be greatly appreciated.
Thanks

@Parashurambiradar sorry for the delay - can you try running train_ssd.py with --validate-mean-ap or run eval_ssd.py?   This will print out the per-class accuracies for you, which will let you know if certain object classes need more/less training data.   If this is still an issue, feel free to re-open it.


ofxSVGExtra:loadFromString missing external symbols in Visual Studio 2019 using of_0.12

Hi,
I am attempting to compile in Visual Studio 2019 using of_0.12 and got these erros about ofxSVGExtra:loadFromString missing external symbols.
Severity	Code	Description																																																		Project File	Line	Suppression Status
Erro		MSB6006	"link.exe" was closed with code 1120.																																															PROJECT_NAME	C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\MSBuild\Microsoft\VC\v160\Microsoft.CppCommon.targets	1074
Erro		LNK2019	unresolved external symbol, svgtiny_create, referenced in the function "public: void __cdecl ofxSVGExtra::loadFromString(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >,class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >)" (?loadFromString@ofxSVGExtra@@QEAAXV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@0@Z)	PROJECT_NAME	MY_PATH\of_v0.12.0_vs_release\apps\myApps\PROJECT_NAME\ofxSvgExtra.obj	1
Erro		LNK2019	unresolved external symbol, svgtiny_parse, referenced in the function "public: void __cdecl ofxSVGExtra::loadFromString(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >,class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >)" (?loadFromString@ofxSVGExtra@@QEAAXV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@0@Z)		PROJECT_NAME	MY_PATH\of_v0.12.0_vs_release\apps\myApps\PROJECT_NAME\ofxSvgExtra.obj	1
Erro		LNK2019	unresolved external symbol, svgtiny_free, referenced in the function "public: void __cdecl ofxSVGExtra::loadFromString(class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >,class std::basic_string<char,struct std::char_traits<char>,class std::allocator<char> >)" (?loadFromString@ofxSVGExtra@@QEAAXV?$basic_string@DU?$char_traits@D@std@@V?$allocator@D@2@@std@@0@Z)		PROJECT_NAME	MY_PATH\of_v0.12.0_vs_release\apps\myApps\PROJECT_NAME\ofxSvgExtra.obj	1
Erro		LNK1120	3 unresolved external																																																	PROJECT_NAME	MY_PATH\of_v0.12.0_vs_release\apps\myApps\PROJECT_NAME\bin\PROJECT_NAME_debug.exe	1

Is it possible to compile in this enviroment or do you recommend working in of_0.11?

Can you try adding the ofxSvg add-on? It seems like svgtiny library isn't loading.

Sure, I will try later today. Thank you!

It worked, thank you!


fix: reactive form gets dirty after (value) initialization

onChange must not be called on writeValue but on set value()
Added missing peer dependency @angular/forms

On second look I see that the commit style message is invalid. In order to make auto generation of changelog messages possible please follow the angular commit style guidelines in your next PRs (see other commits). Next time I'll approve PRs only with valid commit messages.

released in v3.1.2 🎉


disco hue doesn't advertise

This is awesome — so close! Getting an ERROR: parameter, xy, not available for light 1 when running python live_inference.py --hue_lights='True' --hue_IP='my.bridge.ip.address'

did you replace the 'my.bridge.ip.address' when you ran it?
Also, what model are the bulbs you are working on?

I did, and pressed the button on the bridge. It definitely connected because it was able to see that I have two bulbs. I'm not sure what model... I can look when I get a chance. They are not colored ones, if that makes a difference.


AVRO-1954 - Schema.Field.defaultVal() generates: Unknown datum type org.apache.avro.JsonProperties$Null

Added the test cases in the patch attached to AVRO-1954 Jira to TestGenericDatumWriter (since the issue is related to GenericDatumWriter), and modified GenericData to map JsonProperties.NULL_VALUE to Type.NULL

@nandorKollar - I ran into this issue today, and I'm interest in carrying this into master.  Any issues using your work as a starting point and adding you as signed off by on the commits?  I can run them by you first if you'd like.  Thanks

@derekstraka I've no problem with using my work as base, but I'm afraid this pull request is already merged to master: https://github.com/apache/avro/blob/master/lang/java/avro/src/main/java/org/apache/avro/generic/GenericData.java#L730
I'm afraid it was left open here accidentally. Are you sure that you ran into the same issue?

Ah, awesome.  I was using the 1.8.0 release, and I had applied this patch to that tag locally and it resolved my issue.  I didn't think to check in master to see if it was already merged.  Thanks for your help!

Great! However I think this should be backported to branch-1.8 too.


Can't setDate(new Date()) when maxDate was set.

it's not really a bug, coz you will compare two dates' getTime() when maxDate was set, which is logically correct.
But when I want to set the calendar in today, it seems I have to set the maxDate tomorrow.
Any better solutions about this issue?
For your convenience:
https://jsfiddle.net/w8nuL9fz/4/

This is correct behavior, as the date you're trying to set shouldn't exceed maxDate.
Its rather easy to circumvent, however.
{
    defaultDate: new Date(),
    maxDate: new Date().getTime() + 1
}

OK. Thanks for your feedback.


Post clustering functionality

If you haven't already, please read through our contributing guidelines before opening your PR
What is the purpose of this PR?
Adds in logic to annotate the cell table following pixel clustering, as well as detailed instructions for how to use Mantis.
How did you implement your changes
A notebook with two parts. The first allows the user to select subsets of cells, give them new names, and then create a mantis directory to examine them. The second allows the user to identify specific thresholds for functional markers.
Remaining issues
For people who haven't used Mantis, is this clear enough guidance for what they need to do? Are there places where the bare code in the notebook is going to lead to problems? Given that the user is directly manipulating the pandas df there are some inelegant lines still in there, but I couldn't think of a way to avoid it that wasn't super over-engineered.

@cliu72 @efrancis28 let me know if this makes sense for a post-clustering workflow, any other changes, etc

This looks good to me.


Update structure

Hi @swbioinf
I've made some suggestions here for the structure of the workflow guide.

Aha, think the theme version-dependant build issues are from a stray -afffiliation in the header of scrnaseq_wf_guild.md. I'll see if I can merge then fix it.


⚠ St. Lawrence Global Observatory CKAN has degraded performance

In 218eb99, St. Lawrence Global Observatory CKAN (https://catalogue.ogsl.ca/en/) experienced degraded performance:

HTTP code: 200
Response time: 7650 ms

Resolved: St. Lawrence Global Observatory CKAN performance has improved in 96e068e after 6 minutes.


Add new bengali book on C++

Need to add new bengali books on C++ as none are listed.

#7462 I want to add a new C++ computer programming book in Bengali as there are none. There is one for C programming language but I wanted to add for C++. The author of the book is Mahmudul Hasan.
c_programming_bangla_book.pdf

Hey @davorpa can I add book .?

hello sir, I want to work on this issue.

please remember we can't list books on "directory" or filesharing sites, as these are almost always unauthorized distributions


fix for C++17 and conda package

#26  #28 #24
Conda build sources are here maxibor/conda_recipes

thanks!

I could also give you permission to the repo if you want to push the recipes here and no need to wait for my free time.


open an app with flutter alarm manager

is flutter android alarm manager plugin can open an app ?
i'm try to create a reminder app but android alarm manager plugin just can print some things not any more !
Main Code :
void main() async {
  final int helloAlarmID = 0;
  await AndroidAlarmManager.initialize();
  runApp(new MaterialApp(home: MyApp()));
  await AndroidAlarmManager.periodic(const Duration(minutes: 1), helloAlarmID,appRunner);
}
appRunner() {
  return runApp(new MaterialApp(home: new AlarmShow()));
}

Alarm Show Class :
class AlarmShow extends StatelessWidget{
  @override
  Widget build(BuildContext context) {
    return new Scaffold(
      backgroundColor: Colors.red,
      body: new Center(
        child: new Column(
          children: <Widget>[
            new Text('alarm'),
            new Icon(Icons.alarm)
          ])));
  }
}

I expect this show AlarmShow class but it not
Does anyone know how to solve this problem ?

Maybe show a notification (your app will launch when the user taps on it)?

Maybe show a notification (your app will launch when the user taps on it)?

It's a good idea thank you , but I want to show a screen not a notification, I want to show a screen and start music then repeat music until the user stop that with a button, unfortunately, apparently still does not support
and I have to use the notification

Since your code runs in the background I don't think there is a way to do this from flutter directly. However, you could try to start your app from the native side when an alarm is fired. https://stackoverflow.com/questions/7050027/how-do-you-start-an-activity-with-alarmmanager-in-android (I haven't tried that)

thanks a ton

Well that does solve the problem but what about going to the flutter code back with data afterwards is that possible??

Are there any plans to put this into the plugin so that there is no need to mess with the native code or there are some restrictions for doing it?

how can i pass inputData to appRunner function?