I have setup my codes in Linux VM and it was all good - suddenly since 3 to 4 days the scroller function really works very slow and it is a lot of time consuming even if we have to edit small piece of codes - this is really frustrating!
Then now I shifted to Windows VM with all the files copied to users/workspace location.
Now I am running codes here - here is the error/still running state
Let me know if there is any error.
Here is the output after sometime.
I wentt ahead ignoring above error - timeout error. I made a submission. Again I have this error.
your screenshot looks very similar to this thread. Please try both to see if it resolves your issue.
Please try this out:
@jyotish … do you think you can help me here??
I think I have a problem in executing the code.
I am running the code good_starter_notebook and making a submission. But what I am seeing here is that it is executing something else notebook. Please see here and let me know why this is happening?
Can you check if there is any other jupyter server running? You can get the list of active jupyter servers by running
For jupyter lab,
For jupyter notebook,
Please make sure that you have only one active server at a given time.
If the problem still persists, can you share the outputs from the following commands with us?
Then, assuming that your jupyter server is running at
http://localhost:8888, can you share the content of
@jyotish this one we sorted out.
@jyotish Now am getting a new issue where I tried to install one of the python modules . It installed half way and throwed an error that it does not have drive space. Fully utilized all space.
I tried to close all open notebooks and started a new jupyter-lab .
Here is the error. let me know how to resolve!
@ashivani @jyotish @nrad Anyone want to take a look at this?
@shravan.koninti Please refer to the below discussion for the solution.
This issue is cased by installing Conda (or Anaconda) in /home. You are right that /home is set up with 10Gb. However, the VM has access to /dev/sda1 that has 28Gb and /files that has 5Tb.
We recommend installing Conda in /opt. For example, create a folder ‘anaconda 3’ and then install in /opt/anaconda3. This has two benefits:
Leaves /home free for working files
(For multi user situation) Once installed all users have access and can share the same environments/packages
Thanks very much - I am able to install . But Now again I will re-install all the packages I want . let me get back to you. If I face any issues
@ashivani I see this issue after running the codes by following the above post msg. i.e., having opt/anaconda3 installation.
While you wait for a response, I will suggest you to perhaps get one of the many community-published Python
notebooks. It will eliminate potential errors stemming from your own code.
I am using those notebooks only as starter and improvise my FE on top of it. So only these organizers have to help. Thanks
@michael_bordeleau for the prompt response!
The wait for response from your team is looking high. Can you please look into this? Thanks!
Can you try placing
aicrowd notebook and share the complete traceback and output with us?
It should be something like
aicrowd -vvvv notebook submit