I have a jetson racecar tx2 and this is its details:
NVIDIA Jetson TX2
L4T 32.2.1 [ JetPack 4.2.2 ]
Ubuntu 18.04.2 LTS
Kernel Version: 4.9.140-tegra
CUDA 10.0.326
CUDA Architecture: 6.2
OpenCV version: 3.4.0
OpenCV Cuda: YES
CUDNN: 7.5.0.56
TensorRT: 5.1.6.1
Vision Works: 1.6.0.500n
VPI: NOT_INSTALLED
Vulcan: 1.1.70
When is try to start teleport it gives me this error message:
Device not found: IMU or VESC not found -> /dev/ttyACM1 /dev/ttyACM0
I checked out ttyACM0 it doesnot exists I tried to installed ttyACM modules but it gives that module and kernel versions are different.
the usb list as shown in figure:USB List
anyone can help me please?
Related
Iḿ trying to get vulkan to work but I get the following error:
vulkaninfo
ERROR: [Loader Message] Code 0 : /usr/lib/i386-linux-gnu/libvulkan_radeon.so: wrong ELF class: ELFCLASS32
ERROR: [Loader Message] Code 0 : /usr/lib/i386-linux-gnu/libvulkan_intel.so: wrong ELF class: ELFCLASS32
/build/vulkan-tools-KEbD_A/vulkan-tools-1.2.131.1+dfsg1/vulkaninfo/vulkaninfo.h:477: failed with ERROR_INITIALIZATION_FAILED
Following command dumps:
lspci -nnk | grep -iA2 vga
00:02.0 VGA compatible controller [0300]: Intel Corporation Core Processor Integrated Graphics Controller [8086:0046] (rev 02)
Subsystem: Dell Core Processor Integrated Graphics Controller [1028:0410]
Kernel driver in use: i915
I have added the following to my grub config and initialized it
GRUB_CMDLINE_LINUX_DEFAULT="quiet splash amdgpu.si_support=1 radeon.si_support=0 amdgpu.cik_support=1 radeon.cik_support=0"
followed by a reboot. The result is the same error :(
what am I doing wrong, can anyone help me?
Before I forget I installed vukan and mesa vulkan drivers and am running Ubuntu 20.04 LTS on a Dell Latitude E4310. Please help, I just want to play some windows (directX11) games with Wine.
This kind of cryptic error message can happen because vulkaninfo doesn't find any supported GPU.
It is likely that your GPU is not supported by Vulkan (too old), and so you won't be able to use DXVK (DirectX to Vulkan). You still may be able to run games without Vulkan by forcing Wine to use WineD3D (DirectX to OpenGl) instead. See Xaero_Vincent's answer in this reddit thread:
In Lutris you can easily disable DXVK as a option and on steam you can
force OpenGL-based WineD3D:
PROTON_USE_WINED3D=1 %command%
You'll notice though that DirectX 10/11 games will generally run
slower under OpenGL and some games will likely have graphics
artifacts, since DXVK is more mature and further developed.
On Manjaro Linux.
Running Android Studio 3.6.3. Everything works great, but when I try to launch any emulator I am getting this error:
Emulator: createOrGetGlobalVkEmulation: Warning: Vulkan 1.1 APIs missing from device
I'm not having any driver issues outside of trying to use the Android Studio Emulator.
Studio SDK's installed:
Vulkan driver's installed:
I have Radeon's Vulkan mesa driver installed in manjaro. I also have virtualization enabled for processor in BIOS.
Manjaro Information:
System: Host: command Kernel: 5.4.40-1-MANJARO x86_64 bits: 64 compiler: gcc v: 9.3.0
CPU: Topology: 8-Core model: AMD Ryzen 7 2700X bits: 64 type: MT MCP arch: Zen+ rev: 2 L2 cache: 4096 KiB
Graphics: Device-1: Advanced Micro Devices [AMD/ATI] Ellesmere [Radeon RX 470/480/570/570X/580/580X/590]
vendor: Micro-Star MSI driver: amdgpu v: kernel bus ID: 0a:00.0
Display: x11 server: X.org 1.20.8 driver: amdgpu resolution: <xdpyinfo missing>
OpenGL: renderer: Radeon RX 580 Series (POLARIS10 DRM 3.35.0 5.4.40-1-MANJARO LLVM 10.0.0) v: 4.6 Mesa 20.0.6
direct render: Yes
You can work around it as indicated here https://stackoverflow.com/a/59715169/1796802 :
Create the file ~/.android/advancedFeatures.ini
(for Windows users path should be C:\Users\Dane\.android\advancedFeatures.ini) with the following content:
# Here's how to disable Vulkan apps to talk to the emulator.
# Add the following lines to ~/.android/advancedFeatures.ini (create this file if it doesn't exist already):
Vulkan = off
GLDirectMem = on
I fail to run the TF-CUDA tutorials_example_trainer as given in the installation guide (https://github.com/tensorflow/tensorflow/blob/master/tensorflow/g3doc/get_started/os_setup.md#installing-from-sources)
I've had problems with the CUDA libs before, but that was with graphics related demo's.
All details below,
Thank you in advance for the help provided.
Environment info
Operating System: Debian Stretch
Installed version of CUDA and cuDNN:
8.0, 5.0
If installed from source, provide
554ddd9ad2d4abad5a9a31f2d245f0b1012f0d10
Build label: 0.3.0
Build target: bazel-out/local-fastbuild/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar
Build time: Fri Jun 10 11:38:23 2016 (1465558703)
Steps to reproduce
Build from source with 367.35 driver
Run bazel-bin/tensorflow/cc/tutorials_example_trainer --use_gpu
Logs or other output that would be helpful
bazel-bin/tensorflow/cc/tutorials_example_trainer --use_gpu
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
modprobe: ERROR: ../libkmod/libkmod-module.c:832 kmod_module_insert_module() could not find module by name='nvidia_367_uvm'
modprobe: ERROR: could not insert 'nvidia_367_uvm': Unknown symbol in module, or unknown parameter (see dmesg)
E tensorflow/stream_executor/cuda/cuda_driver.cc:491] failed call to cuInit: CUDA_ERROR_UNKNOWN
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:153] retrieving CUDA diagnostic information for host: debian
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:160] hostname: debian
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:185] libcuda reported version is: 367.35.0
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:356] driver version file contents: """NVRM version: NVIDIA UNIX x86_64 Kernel Module 367.35 Mon Jul 11 23:14:21 PDT 2016
GCC version: gcc version 5.4.0 20160609 (Debian 5.4.0-6)
"""
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] kernel reported version is: 367.35.0
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:293] kernel version seems to match DSO: 367.35.0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:81] No GPU devices available on machine.
F tensorflow/cc/tutorials/example_trainer.cc:125] Check failed: ::tensorflow::Status::OK() == (session->Run({{"x", x}}, {"y:0", "y_normalized:0"}, {}, &outputs)) (OK vs. Invalid argument: Cannot assign a device to node 'y': Could not satisfy explicit device specification '/gpu:0' because no devices matching that specification are registered in this process; available devices: /job:localhost/replica:0/task:0/cpu:0
[[Node: y = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/gpu:0"](Const, x)]])
The error message indicates that your GPU driver is not well set. You could try the following command to see if the driver is installed correctly.
$ nvidia-smi
If not please follow the instruction on the CUDA official site and reinstall CUDA. As your OS is not officially supported, you may want to change your OS.
I have a NVIDIA Grid K2 GPU allocated to a virtual server running Ubuntu 14.04. To reinstall the proper drivers after an automatic kernel update I ran sudo apt-get update followed by sudo apt-get install nvidia-current.
Now I cannot get CUDA 7.5 to work any longer. If I run the deviceQuery sample I get the following message:
CUDA Device Query (Runtime API) version (CUDART static linking)
cudaGetDeviceCount returned 35
-> CUDA driver version is insufficient for CUDA runtime version
Result = FAIL
This is the output from sudo lshw -c video
PCI (sysfs)
*-display
description: VGA compatible controller
product: SVGA II Adapter
vendor: VMware
physical id: f
bus info: pci#0000:00:0f.0
version: 00
width: 32 bits
clock: 33MHz
capabilities: vga_controller bus_master cap_list rom
configuration: driver=vmwgfx latency=64
resources: irq:16 ioport:1070(size=16) memory:ec000000-efffffff memory:fe000000-fe7fffff memory:c0300000-c0307fff
*-display
description: VGA compatible controller
product: GK104GL [GRID K2]
vendor: NVIDIA Corporation
physical id: 0
bus info: pci#0000:0b:00.0
version: a1
width: 64 bits
clock: 33MHz
capabilities: pm msi pciexpress vga_controller bus_master cap_list
configuration: driver=nvidia latency=64
resources: irq:19 memory:fc000000-fcffffff memory:e0000000-e7ffffff memory:e8000000-e9ffffff ioport:5000(size=128)
I solved this issue with the following steps using the hints from the installation guide:
Uninstalled the packages that I had mistakenly installed by running sudo apt-get --purge remove nvidia-current.
Uninstalled CUDA 7.5 with the command sudo /usr/local/cuda-7.5/bin/uninstall_cuda_7.5.pl
Restarted the server using sudo reboot
Installed CUDA 7.5 by running the downloadable .run file and following the instructions.
Checking that everything works by running the deviceQuery CUDA sample.
I want to compile my program locally and next run on server, because I haven't cuda capable graphics card.
My computer:
Kubuntu 12.04 x32
Nvidia display driver - lack
Nvcc - v6.01
Gcc - 4.6.3
Server:
Ubuntu 13.10 x64
Graphics card - GF GTX 480
Nvidia display driver - 337.xx
Nvcc - v6.01
Gcc - 4.8.1
Compilation on local computer:
nvcc kernel.cu
Running on server:
./a.out
But I get following error - "Cuda driver version is insufficient for cuda runtime version."
What's wrong? When I compile my code on server it work without problem.
The problem might be caused by the fact that you compile on x32 but execute on x64 architecture.
This problem is also described here: https://devtalk.nvidia.com/default/topic/555955/32-bit-executable-fails-with-insufficient-driver-version-on-64-bit-linux-os/
The solution provided there is to install the missing 32bit gcc libraries, which in your case (Ubuntu) should possible through:
sudo apt-get install lib32stdc++6