I am using stm32mp157c-dk2 board and I added the RNDIS gadget to the config file. When I run u-boot on the board I get "No ethernet found". This is the log of the boot:
U-Boot SPL 2018.11-stm32mp-r2.1-00026-g161ca183f1-dirty (Jan 31 2020 - 12:34:38 +0200)
Model: STMicroelectronics STM32MP157C-DK2 Discovery Board
RAM: DDR3-1066/888 bin G 1x4Gb 533MHz v1.41
Trying to boot from MMC1
U-Boot 2018.11-stm32mp-r2.1-00026-g161ca183f1-dirty (Jan 31 2020 - 12:34:38 +0200)
CPU: STM32MP157CAC Rev.B
Model: STMicroelectronics STM32MP157C-DK2 Discovery Board
Board: stm32mp1 in basic mode (st,stm32mp157c-dk2)
Board: MB1272 Var2 Rev.C-01
DRAM: 512 MiB
Clocks:
- MPU : 650 MHz
- MCU : 208.878 MHz
- AXI : 266.500 MHz
- PER : 24 MHz
- DDR : 533 MHz
*******************************************
* WARNING 500mA power supply detected *
* Current too low, use a 3A power supply! *
*******************************************
NAND: 0 MiB
MMC: STM32 SDMMC2: 0, STM32 SDMMC2: 1
Loading Environment from EXT4... OK
In: serial
Out: serial
Err: serial
Net: No ethernet found.
Hit any key to stop autoboot: 0
Boot over mmc0!
Do you have any suggestions? thanks for helpers!
That big warning about too small of a power supply is the first thing to look at. A lack of power tends to lead to not all blocks of the SoC being used / available.
Related
Thank you for reading this.
I'm having difficulties with DVB-S2 communication between two USRP B200 SDR boards that are connected with SMA cable.
For hardware set-up, I'm using Raspberry Pi 4 (4 GB) to execute GNU Radio Companion, and using USB 3.0 port and cable to connect RPi and USRP B200. And I connected a DC block at the Tx port, as described in USRP homepage manual for DVB-S2. (So, the sequence is RPi 4-USB 3.0-USRP (Tx)-DC block-SMA cable (1 m)-USRP (Rx)-USB 3.0-RPi 4)
I have attached my hardware set-up pictures below.
I am trying to send some sample video through DVB-S2 communication. And I got DVB-S2 GRC flowcharts from links below. I've attached the screenshots, too.
https://github.com/drmpeg/gr-dvbs2
https://github.com/drmpeg/gr-dvbs2rx
At last trial, it was successful with RF options setting like below:
-Constellation: QPSK
-Code rate: 2/5
-Center Freq.: 1 GHz
-1 Mbps (sample rate) * 2 sps (sample per symbol) = 2 Mbps (bandwidth)
-Tx relative gain: 40 dB
(Regarding the code rate and bandwidth, I could see the video was received with 0.8 Mbps data rate)
But the problem is:
-this connection is very unstable as it does often fail even when the RF setting is the same.
-I need to raise the data rate as high as possible, but it's too low for me now. As I know, USRP B200 support ~61.44 Msps, but when I require about above 4 Mbps bandwidth, the log shows Us (underflow) at Tx and Os (overflow) at Rx. I confirmed that the clock rate setting is fine with 56 MHz.
-So I tried using other constellations, code rate, sample rate combinations but they failed.And for 8PSK option, I put 3 into sps variable at the Rx side as 8PSK is 3 bits per sample, but Rx flowchart rejected and saying 'sps needs to be even integer >= 2'. And it was not allowed to use 16APSK or beyond constellations in this USRP or in this flowgraph.
I guess I am missing something.
Is there any way that I can make stable connection and raise up the data rate?
I would really appreciate if you could help me.
I would like to run OpenVINO on an integrated GPU Intel HD 400.
When I run it I have the following error:
12.05.21 16:02:27 (-0400) self._engine = self._ie.load_network(**openvino_config)
12.05.21 16:02:27 (-0400) File "ie_api.pyx", line 311, in openvino.inference_engine.ie_api.IECore.load_network
12.05.21 16:02:27 (-0400) File "ie_api.pyx", line 320, in openvino.inference_engine.ie_api.IECore.load_network
12.05.21 16:02:27 (-0400) RuntimeError: Failed to create plugin /opt/intel/openvino_2021.1.110/deployment_tools/inference_engine/lib/intel64/libclDNNPlugin.so for device GPU
I followed the instructions to install the GPU plugin here Steps for Intel® Processor Graphics (GPU) and I can confirm that libclDNNPlugin.so exists.
I am running the code within a docker container and I am not sure if the host os has the proper drivers installed.
I run lsmod on host os and I got the following output
Module Size Used by
bnep 20480 2
ip6t_REJECT 16384 2
nf_reject_ipv6 16384 1 ip6t_REJECT
ip6table_filter 16384 1
xt_state 16384 0
ipt_REJECT 16384 2
nf_reject_ipv4 16384 1 ipt_REJECT
ip6_tables 28672 1 ip6table_filter
xt_MASQUERADE 16384 12
nf_conntrack_netlink 32768 0
nfnetlink 16384 2 nf_conntrack_netlink
xfrm_user 36864 1
xt_owner 16384 0
snd_hda_codec_hdmi 53248 1
snd_hda_codec_realtek 98304 1
snd_hda_codec_generic 65536 1 snd_hda_codec_realtek
snd_hda_intel 32768 0
coretemp 16384 0
snd_intel_dspcfg 16384 1 snd_hda_intel
snd_hda_codec 94208 4 snd_hda_codec_generic,snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec_realtek
i915 1802240 5
at24 20480 0
r8169 73728 0
snd_hda_core 65536 5 snd_hda_codec_generic,snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec,snd_hda_codec_realtek
regmap_i2c 16384 1 at24
snd_pcm 86016 4 snd_hda_codec_hdmi,snd_hda_intel,snd_hda_codec,snd_hda_core
efivars 20480 0
realtek 20480 2
libphy 81920 2 r8169,realtek
snd_timer 28672 1 snd_pcm
video 40960 1 i915
backlight 16384 2 video,i915
sch_fq_codel 20480 4
The error specifies: [CLDNN ERROR]. No GPU device was found.
Also, clinfo reported 0 platform available.
I run the following commands:
sudo apt install ocl-icd-libopencl1
sudo apt install opencl-headers
sudo apt install clinfo
sudo apt install ocl-icd-opencl-dev
sudo apt install beignet
and now the clinfo output is:
Number of platforms 1
Platform Name Intel Gen OCL Driver
Platform Vendor Intel
Platform Version OpenCL 2.0 beignet 1.3
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_3d_image_writes cl_khr_image2d_from_buffer cl_khr_depth_images cl_khr_spir cl_khr_icd cl_intel_accelerator cl_intel_subgroups cl_intel_subgroups_short cl_khr_gl_sharing
Platform Extensions function suffix Intel
Platform Name Intel Gen OCL Driver
Number of devices 1
Device Name Intel(R) HD Graphics Cherryview
Device Vendor Intel
Device Vendor ID 0x8086
Device Version OpenCL 1.2 beignet 1.3
Driver Version 1.3
Device OpenCL C Version OpenCL C 1.2 beignet 1.3
Device Type GPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 12
Max clock frequency 1000MHz
Device Partition (core)
Max number of sub-devices 1
Supported partition types None, None, None
Max work item dimensions 3
Max work item sizes 512x512x512
Max work group size 512
Preferred work group size multiple 16
Preferred / native vector sizes
char 16 / 8
short 8 / 8
int 4 / 4
long 2 / 2
half 0 / 8 (cl_khr_fp16)
float 4 / 4
double 0 / 2 (n/a)
Half-precision Floating-point support (cl_khr_fp16)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Double-precision Floating-point support (n/a)
Address bits 32, Little-Endian
Global memory size 2147483648 (2GiB)
Error Correction support No
Max memory allocation 1610612736 (1.5GiB)
Unified memory for Host and Device Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type Read/Write
Global Memory cache size 8192 (8KiB)
Global Memory cache line size 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 4096 bytes
Pitch alignment for 2D image buffers 1 pixels
Max 2D image size 8192x8192 pixels
Max 3D image size 8192x8192x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Local
Local memory size 65536 (64KiB)
Max number of constant args 8
Max constant buffer size 134217728 (128MiB)
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 80ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
SPIR versions 1.2
printf() buffer size 1048576 (1024KiB)
Built-in kernels __cl_copy_region_align4;__cl_copy_region_align16;__cl_cpy_region_unalign_same_offset;__cl_copy_region_unalign_dst_offset;__cl_copy_region_unalign_src_offset;__cl_copy_buffer_rect;__cl_copy_image_1d_to_1d;__cl_copy_image_2d_to_2d;__cl_copy_image_3d_to_2d;__cl_copy_image_2d_to_3d;__cl_copy_image_3d_to_3d;__cl_copy_image_2d_to_buffer;__cl_copy_image_3d_to_buffer;__cl_copy_buffer_to_image_2d;__cl_copy_buffer_to_image_3d;__cl_fill_region_unalign;__cl_fill_region_align2;__cl_fill_region_align4;__cl_fill_region_align8_2;__cl_fill_region_align8_4;__cl_fill_region_align8_8;__cl_fill_region_align8_16;__cl_fill_region_align128;__cl_fill_image_1d;__cl_fill_image_1d_array;__cl_fill_image_2d;__cl_fill_image_2d_array;__cl_fill_image_3d;
Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_3d_image_writes cl_khr_image2d_from_buffer cl_khr_depth_images cl_khr_spir cl_khr_icd cl_intel_accelerator cl_intel_subgroups cl_intel_subgroups_short cl_khr_gl_sharing cl_khr_fp16
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Intel Gen OCL Driver
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [Intel]
clCreateContext(NULL, ...) [default] Success [Intel]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name Intel Gen OCL Driver
Device Name Intel(R) HD Graphics Cherryview
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name Intel Gen OCL Driver
Device Name Intel(R) HD Graphics Cherryview
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1)
Platform Name Intel Gen OCL Driver
Device Name Intel(R) HD Graphics Cherryview
ICD loader properties
ICD loader Name OpenCL ICD Loader
ICD loader Vendor OCL Icd free software
ICD loader Version 2.2.11
ICD loader Profile OpenCL 2.1
root#406231114801:/src# clinfo
Number of platforms 1
Platform Name Intel Gen OCL Driver
Platform Vendor Intel
Platform Version OpenCL 2.0 beignet 1.3
Platform Profile FULL_PROFILE
Platform Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_3d_image_writes cl_khr_image2d_from_buffer cl_khr_depth_images cl_khr_spir cl_khr_icd cl_intel_accelerator cl_intel_subgroups cl_intel_subgroups_short cl_khr_gl_sharing
Platform Extensions function suffix Intel
Platform Name Intel Gen OCL Driver
Number of devices 1
Device Name Intel(R) HD Graphics Cherryview
Device Vendor Intel
Device Vendor ID 0x8086
Device Version OpenCL 1.2 beignet 1.3
Driver Version 1.3
Device OpenCL C Version OpenCL C 1.2 beignet 1.3
Device Type GPU
Device Profile FULL_PROFILE
Device Available Yes
Compiler Available Yes
Linker Available Yes
Max compute units 12
Max clock frequency 1000MHz
Device Partition (core)
Max number of sub-devices 1
Supported partition types None, None, None
Max work item dimensions 3
Max work item sizes 512x512x512
Max work group size 512
Preferred work group size multiple 16
Preferred / native vector sizes
char 16 / 8
short 8 / 8
int 4 / 4
long 2 / 2
half 0 / 8 (cl_khr_fp16)
float 4 / 4
double 0 / 2 (n/a)
Half-precision Floating-point support (cl_khr_fp16)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Single-precision Floating-point support (core)
Denormals No
Infinity and NANs Yes
Round to nearest Yes
Round to zero No
Round to infinity No
IEEE754-2008 fused multiply-add No
Support is emulated in software No
Correctly-rounded divide and sqrt operations No
Double-precision Floating-point support (n/a)
Address bits 32, Little-Endian
Global memory size 2147483648 (2GiB)
Error Correction support No
Max memory allocation 1610612736 (1.5GiB)
Unified memory for Host and Device Yes
Minimum alignment for any data type 128 bytes
Alignment of base address 1024 bits (128 bytes)
Global Memory cache type Read/Write
Global Memory cache size 8192 (8KiB)
Global Memory cache line size 64 bytes
Image support Yes
Max number of samplers per kernel 16
Max size for 1D images from buffer 65536 pixels
Max 1D or 2D image array size 2048 images
Base address alignment for 2D image buffers 4096 bytes
Pitch alignment for 2D image buffers 1 pixels
Max 2D image size 8192x8192 pixels
Max 3D image size 8192x8192x2048 pixels
Max number of read image args 128
Max number of write image args 8
Local memory type Local
Local memory size 65536 (64KiB)
Max number of constant args 8
Max constant buffer size 134217728 (128MiB)
Max size of kernel argument 1024
Queue properties
Out-of-order execution No
Profiling Yes
Prefer user sync for interop Yes
Profiling timer resolution 80ns
Execution capabilities
Run OpenCL kernels Yes
Run native kernels Yes
SPIR versions 1.2
printf() buffer size 1048576 (1024KiB)
Built-in kernels __cl_copy_region_align4;__cl_copy_region_align16;__cl_cpy_region_unalign_same_offset;__cl_copy_region_unalign_dst_offset;__cl_copy_region_unalign_src_offset;__cl_copy_buffer_rect;__cl_copy_image_1d_to_1d;__cl_copy_image_2d_to_2d;__cl_copy_image_3d_to_2d;__cl_copy_image_2d_to_3d;__cl_copy_image_3d_to_3d;__cl_copy_image_2d_to_buffer;__cl_copy_image_3d_to_buffer;__cl_copy_buffer_to_image_2d;__cl_copy_buffer_to_image_3d;__cl_fill_region_unalign;__cl_fill_region_align2;__cl_fill_region_align4;__cl_fill_region_align8_2;__cl_fill_region_align8_4;__cl_fill_region_align8_8;__cl_fill_region_align8_16;__cl_fill_region_align128;__cl_fill_image_1d;__cl_fill_image_1d_array;__cl_fill_image_2d;__cl_fill_image_2d_array;__cl_fill_image_3d;
Device Extensions cl_khr_global_int32_base_atomics cl_khr_global_int32_extended_atomics cl_khr_local_int32_base_atomics cl_khr_local_int32_extended_atomics cl_khr_byte_addressable_store cl_khr_3d_image_writes cl_khr_image2d_from_buffer cl_khr_depth_images cl_khr_spir cl_khr_icd cl_intel_accelerator cl_intel_subgroups cl_intel_subgroups_short cl_khr_gl_sharing cl_khr_fp16
NULL platform behavior
clGetPlatformInfo(NULL, CL_PLATFORM_NAME, ...) Intel Gen OCL Driver
clGetDeviceIDs(NULL, CL_DEVICE_TYPE_ALL, ...) Success [Intel]
clCreateContext(NULL, ...) [default] Success [Intel]
clCreateContextFromType(NULL, CL_DEVICE_TYPE_DEFAULT) Success (1)
Platform Name Intel Gen OCL Driver
Device Name Intel(R) HD Graphics Cherryview
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CPU) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_GPU) Success (1)
Platform Name Intel Gen OCL Driver
Device Name Intel(R) HD Graphics Cherryview
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ACCELERATOR) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_CUSTOM) No devices found in platform
clCreateContextFromType(NULL, CL_DEVICE_TYPE_ALL) Success (1)
Platform Name Intel Gen OCL Driver
Device Name Intel(R) HD Graphics Cherryview
ICD loader properties
ICD loader Name OpenCL ICD Loader
ICD loader Vendor OCL Icd free software
ICD loader Version 2.2.11
ICD loader Profile OpenCL 2.1
How can I solve the issue?
According to these supported platforms information, your GPU currently might not supported. Could you run the programs on CPU? Try running this command " lspci | grep -i vga " and share the output here.
My source video file (1h 30min movie) is playable in both PotPlayer and VLC: h264, 8-bit color and 7755kb/s bitrate.
The NVEnc command I'm using is this:
.\nvencc\NVEncC64.exe --avhw -i "input.mkv" --codec hevc --preset quality --bframes 4 --ref 7 --cu-max 32 --cu-min 8 --output-depth 10 --audio-copy --sub-copy -o "output.mkv"
Encoding works fine (I believe):
NVEncC (x64) 5.26 (r1786) by rigaya, Jan 31 2021 09:23:04 (VC 1928/Win/avx2)
OS Version Windows 10 x64 (19042)
CPU AMD Ryzen 5 1600 Six-Core Processor [3.79GHz] (6C/12T)
GPU #0: GeForce GTX 1660 (1408 cores, 1830 MHz)[PCIe3x16][457.51]
NVENC / CUDA NVENC API 11.0, CUDA 11.1, schedule mode: auto
Input Buffers CUDA, 21 frames
Input Info avcuvid: H.264/AVC, 1920x800, 24000/1001 fps
AVSync vfr
Vpp Filters cspconv(nv12 -> p010)
Output Info H.265/HEVC main10 # Level auto
1920x800p 1:1 23.976fps (24000/1001fps)
avwriter: hevc, eac3, subtitle#1 => matroska
Encoder Preset quality
Rate Control CQP I:20 P:23 B:25
Lookahead off
GOP length 240 frames
B frames 4 frames [ref mode: disabled]
Ref frames 7 frames, MultiRef L0:auto L1:auto
AQ off
CU max / min 32 / 8
Others mv:auto
encoded 142592 frames, 219.97 fps, 1549.90 kbps, 1098.83 MB
encode time 0:10:48, CPU: 8.7%, GPU: 5.2%, VE: 98.3%, VD: 21.5%, GPUClock: 1966MHz, VEClock: 1816MHz
frame type IDR 595
frame type I 595, avgQP 20.00, total size 39.44 MB
frame type P 28519, avgQP 23.00, total size 471.93 MB
frame type B 113478, avgQP 25.00, total size 587.45 MB
but when I try to play it in either PotPlayer or VLC it says there is no video track or it just doesn't play at all.
MediaInfo also doesn't show any video, audio, or subtitle tracks either, just the name of the file and the file size. Am I missing something?
Switching --avhw to --avsw solved the problem.
I’m trying to run a TensorFlow2 example from the Graphcore public examples (MNIST). I’m using the IPU model instead of IPU hardware because my machine doesn’t have access to IPU hardware, so I’ve followed the documentation (Running on the IPU Model simulator) and added the following to my model:
# Using IPU model instead of IPU hardware
if self.base_dictionary['ipu_model']:
os.environ['TF_POPLAR_FLAGS'] = '--use_ipu_model'
When I run the model, it fails with: Illegal instruction (core dumped). I don’t see where this comes from as I used an existing example. What is this error and how do I solve it?
Illegal instruction means that your program is generating instructions that your CPU can’t handle. The Graphcore TensorFlow wheel is compiled for Skylake class CPUs with the AVX-512 instruction set available, so processors that do not fit the requirements (i.e. a Skylake class CPU with AVX-512 capabilities) will not be able to run Graphcore Tensorflow code. (You can see the requirements in the “Requirements” section of the SDK Overview documentation here).
To see if your processors have AVX-512 capabilities, run cat /proc/cpuinfo and look at the flags field of any of the processors - they should all have the same flags. Here If you don’t see avx512f, your processors don’t fit the Graphcore requirements for running Tensorflow code. Here is an example of what the cat command returns on a machine that fits the requirements (result truncated to one processor):
processor : 95
vendor_id : GenuineIntel
cpu family : 6
model : 85
model name : Intel(R) Xeon(R) Platinum 8168 CPU # 2.70GHz
stepping : 4
microcode : 0x2000064
cpu MHz : 1200.703
cache size : 33792 KB
physical id : 1
siblings : 48
core id : 27
cpu cores : 24
apicid : 119
initial apicid : 119
fpu : yes
fpu_exception : yes
cpuid level : 22
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti intel_ppin ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke md_clear flush_l1d
bugs : cpu_meltdown spectre_v1 spectre_v2 spec_store_bypass l1tf mds swapgs taa itlb_multihit
bogomips : 5401.49
clflush size : 64
cache_alignment : 64
address sizes : 46 bits physical, 48 bits virtual
power management:
Machines provided by Graphcore or their partners will always fit these requirements, so it’s best to use them. They’ll also have enough cores and memory, which might not be the case on e.g. a personal laptop.
I compiled a higher version of the kernel.
The program data that was eventually run in fs mode is not written to stats.txt.
How do I solve this problem?
Gem5 is the latest version
ubuntu-14.04
build/X86/gem5.opt configs/example/fs.py --disk-image=linux-x86.img --kernel=/home/jiaotong/gem5/gem5-NUCA-master/fs-image/binaries/vmlinux
The kernel is a 3.2.24 kernel compiled with the configuration file of the official website 2.6.28.4.
this is system.terminal：
Booting Linux on physical CPU 0x0
Initializing cgroup subsys cpuset
Linux version 3.14.0 (sim#openstack1) (gcc version 4.8.4 (Ubuntu/Linaro 4.8.4-2ubuntu1~14.04.1) ) #1 SMP PREEMPT Sun May 15 16:33:56 CST 2016
Kernel was built at commit id 'b2af788'
CPU: ARMv7 Processor [410fc0f0] revision 0 (ARMv7), cr=10c53c7d
CPU: PIPT / VIPT nonaliasing data cache, VIPT aliasing instruction cache
Machine model: V2P-CA15
bootconsole [earlycon0] enabled
Memory policy: Data cache writealloc
kdebugv2m: Following are test values to confirm proper working
kdebugv2m: Ranges 42000000 0
kdebugv2m: Regs 30000000 1000000
kdebugv2m: Virtual-Reg f0000000
kdebugv2m: pci node addr_cells 3
kdebugv2m: pci node size_cells 2
kdebugv2m: motherboard addr_cells 2
On node 0 totalpages: 131072
free_area_init_node: node 0, pgdat 80679840, node_mem_map 9fbf9000
Normal zone: 1024 pages used for memmap
Normal zone: 0 pages reserved
Normal zone: 131072 pages, LIFO batch:31
sched_clock: 32 bits at 24MHz, resolution 41ns, wraps every 178956969942ns
PERCPU: Embedded 8 pages/cpu #9fbe1000 s12224 r8192 d12352 u32768
pcpu-alloc: s12224 r8192 d12352 u32768 alloc=8*4096
pcpu-alloc: [0] 0 [0] 1
Built 1 zonelists in Zone order, mobility grouping on. Total pages: 130048
Kernel command line: earlyprintk=pl011,0x1c090000 console=ttyAMA0 lpj=19988480 norandmaps rw loglevel=8 mem=512MB root=/dev/sda1
PID hash table entries: 2048 (order: 1, 8192 bytes)
Dentry cache hash table entries: 65536 (order: 6, 262144 bytes)
Inode-cache hash table entries: 32768 (order: 5, 131072 bytes)