I have this error when i try to run tensorboard to check the logs of my model.
tensorboard --logdir = 06/logs
RuntimeWarning: compiletime version 3.5 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.6
In pycham on OSX. Please help
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Hey i have an django application which is working fine locally but its not working when it is hosted on a web showing below error
django.core.exceptions.ImproperlyConfigured: Error loading pyodbc module: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found (required by /home/site/wwwroot/antenv/lib/python3.7/site-packages/pyodbc.cpython-37m-x86_64-linux-gnu.so)
Did i miss anything at the time of hosting?
Assuming you got this issue during deployment via DevOps pipeline, you could specify an exact version of python in the UsePythonVersion (including minor version) task.
Supported python versions, you could check the software of the agent image:
https://learn.microsoft.com/en-us/azure/devops/pipelines/agents/hosted?view=azure-devops&tabs=yaml#software
Also, you could try the solution in the following case, by adding deadsnakes repo, installing 3.7 and symlink python to python3.7:
https://github.com/actions/virtual-environments/issues/2634#issuecomment-775808754
Loading the TensorBoard notebook extension fails suddenly.
Following the Colab example: https://colab.research.google.com/github/tensorflow/tensorboard/blob/master/docs/r2/tensorboard_in_notebooks.ipynb
Tried restarting the runtime, had no effect.
!pip install -q tf-nightly-2.0-preview
# Load the TensorBoard notebook extension
%load_ext tensorboard
Actual result:
The tensorboard module is not an IPython extension.
I can't even find any other reference to this error return.
Use %load_ext tensorboard.notebook instead. This will work. It is an already raised Issue on gitHub.
This is a totally newbie question to see if I am missing something key (like there is more to install?).
After installing H20 (python 2.7) on a 9 node Hadoop / Spark cluster
using pip install of the whl file (h2o-3.10.4.8-py2.py3-none-any.whl) (which says it installed correctly).....
I can import h2o successfully.
But, when I run h2o.init() then I get:
"Checking whether there is an H20 instance running at http://localhost:54321. connected."
But then an error is thrown:
H2oServerError: HTTP 500 Server Error: u'Error: 500'
Should I be able to run H20 by simply pip installing that whl or is there more? The documentation seems outdated and there are lots of different versions found online. Anyone have any experience with this?
It's most likely that you got this problem solved, but maybe someone else may benefit. Use the install in Python Tab on the following website : http://h2o-release.s3.amazonaws.com/h2o/rel-tutte/2/index.html.
I was able to successfully install gdal 1.11 and load it from python shell on my windows 32 bit machine. I can also verify its success by typing "gdalinfo --version" and getting the correct version info: GDAL 1.11.4, released 2016/01/25
However, when running "python manage.py shell" in django 1.11, I got error 127 'the specified procedure could not be found'. The error occurred when django called function lgdal = CDLL(lib_path)
I printed out lib_path, it is correct. The same function worked fine in my python shell.
Any idea why loading gdal111.dll would fail in the django environment when it has no problem in the python shell? Thanks.
When I run the command
./manage.py validate
I get the error
Error:No module named debugger.debugger
I have debugger installed in my virtual environment via pip.
Actually the real problem was because of django-haystack version. Requires was version 2.0.0
So during validate somehow the real error was not showing up. The actual error was an import error during validate.
Thanks everyone for the help