I try to reproduce some codes with chainer. However, there is something wrong with cuda setting.
I used the conda environment with python 3.5 and ubuntu16.04. I used chainer 5.4.0 and cupy 5.4.0.
When I used "cupy.show_config()", the result is:
CuPy Version : 5.4.0
CUDA Root : /usr/local/cuda-10.1
CUDA Build Version : 10010
CUDA Driver Version : 0
CUDA Runtime Version : CUDARuntimeError('cudaErrorInsufficientDriver: CUDA driver version is insufficient for CUDA runtime version',)
cuDNN Build Version : 7500
cuDNN Version : 7500
NCCL Build Version : None
NCCL Runtime Version : None
there is always a CUDARuntimeError.
I expect to solve the problem of CUDARuntimeError.
I have solved the problem by reinstalling cuda and cudnn.
Related
I have a problem installing R package "units" on Termius. The linux distro and kernel version are CentOS Linux release 7.9.2009 (Core). When "units" was installed, it reported the following error message:
I am using Windows 10 and have to use Termius to run R. Is there a way to resolve this issue in this case?
Openvino inference crashes. I think the source of issue is the note at the end of clinfo command:
your OpenCL library only supports OpenCL 2.1,
but some installed platforms support OpenCL 3.0.
Programs using 3.0 features may crash or behave unexpectedly
How can I upgrade my OpenCL library to 3.0 to resolve the issue?
OS: Ubuntu 20.04
Kernel: 5.15.2-051502-generic
The content of /etc/OpenCL/vendors/intel.icd file is:
/usr/lib/x86_64-linux-gnu/intel-opencl/libigdrcl.so
Try installing the latest Intel Compute Engine 21.45.21574 and see if it resolves the issue.
This is the error that shows up when I try to run "pip install PySide" on my Jetson Nano. Can someone please let me know how I can fix this error?
CMake Warning at /usr/share/cmake-3.10/Modules/FindQt4.cmake:620 (message):
/usr/bin/qmake reported QT_INSTALL_LIBS as "/usr/lib/aarch64-linux-gnu" but
QtCore could not be found there. Qt is NOT installed correctly for the
target build environment.
Call Stack (most recent call first):
CMakeLists.txt:9 (find_package)
-- Found PythonLibs: /usr/lib/aarch64-linux-gnu/libpython2.7.so (found suitable version "2.7.17", minimum required is "2.6")
-- Found LibXml2: /usr/lib/aarch64-linux-gnu/libxml2.so (found suitable version "2.9.4", minimum required is "2.6.32")
-- Could NOT find LibXslt (missing: LIBXSLT_LIBRARIES LIBXSLT_INCLUDE_DIR) (Required is at least version "1.1.19")
Qt QTGUI library not found.
Qt QTXML library not found.
Qt QTCORE library not found.
CMake Error at ApiExtractor/CMakeLists.txt:82 (qt4_add_resources):
Unknown CMake command "qt4_add_resources".
-- Configuring incomplete, errors occurred!
See also "/tmp/pip-build-mimaL7/PySide/pyside_build/py2.7-qt4.8.7-64bit-release/shiboken/CMakeFiles/CMakeOutput.log".
error: Error configuring shiboken
PySide does not have official release package for ARM systems. You have to build it yourself. All I can afford is this .whl, but keep in mind that it was built on Ubuntu 20.04 with JetPack 4 and Python 3.6 on board.
I'm using windows, my problem is that while trying to install tensorflow in R the following error message appears.
Error in install_tensorflow(method = method, conda = conda, version = tensorflow, :
Unable to install TensorFlow on this platform.Binary installation is only available for 64-bit platforms.
My machine is 64 bit, so I don't understand where is the problem.
I've already cheked if my anaconda installation and the python version are 64bit and they are.
I can install tensorflow in python without any error, but i can't in R.
I've tried to redirect the R tensorflow installation to the python environment but i don't know if it can really help.
> library(tensorflow)
> install_tensorflow()
Error in install_tensorflow() :
Unable to install TensorFlow on this platform.Binary installation is only available for 64-bit platforms.
Can you try to install older version of tensorflow which is 1.5.0 using command pip install tensorflow==1.5.0
I have r-keras and r-tension CPU version installed on Win10. It works good until i received a warning message of Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2.
Besides, I hv Nvidia GeForce MX150.
When I tried to re-install tensor/keras GPU version by library(tensorflow)
install_tensorflow(version = "gpu")
it shows Error: Error 1 occurred installing packages into conda environment r-tensorflow
Please advise how I can hv the GPU version installed. Thanks.