So I'm using colab and it disconnects me every 12 hours while using GPU. I bought a subscription to colab pro, and still have the same problem. What to do to fix this? Please I need a quick help.
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I have tried using Google Colab and Kaggle to run a certain code of mine, an Ai code. However it uses up all the RAM and all the code crashes. Yes, I have GPU on in both but still to no avail. I even tried TPU for Colab but still it's not working. What is the remedy? Should I pay for Colab? Or I should reduce my dataset?
I am using Macbook Air with M1 chip. When trying to import tensorflow in Jupyter notebook, the kernel dies and displays a prompt that "Kernel has died and will restart in sometime". Could someone help me fix this?
Tensorflow version - 2.5.0
Python version - 3.8.8
Try running the notebook file within VS Code, there are extensions to help with that. Also check this article on how to install tf on M1 https://towardsdatascience.com/installing-tensorflow-on-the-m1-mac-410bb36b776
It seems this is a recurring issue with multiple people with the m1 macs. Since it is still fairly new, it is possible that Jupiter notebook still doesn't fully support it. Try using anaconda navigator with the windows emulator. Here is a link to a forum post with people having the same problem.
https://github.com/apple/tensorflow_macos/issues/45
Anaconda and upgrading to new M1 Mac
everyone!
I upgrade my account in Google Colab to Colab Pro today. However, it says 'Runtime Disconnected' when my code runs every time, and it cannot re-connected automatically. But I didn't encounter this problem when I used the normal Colab (not Colab Pro). Could you help me with my problem? Thanks in advance!
I've been using Google Colaboratory to do practice simple Python coding, and then today, my Google Colab crashed because it says I'm running out of RAM, only 0.77 GB out of 25 GB left. I moved a lot of my notebooks to trash and that didn't help. Can someone please help! Thank you!
RAM isn't consumed by Colab notebooks in Drive. Rather, RAM is consumed by Python variables you define in your notebook.
Can you share a self-contained notebook that reproduces the problem?
I am working with tensorflow 2.0 beta, and while i managed to get my GPU working on anaconda through a few youtube tutorials I am unable to get my gpu running in google colab. I know google has the option to enable a gpu from one of their servers but My GTX 1070 is much faster, and i need to run off colab and not just Jupyter exclusively.
So I read the documentation like a good boy and the only thing i think i could have done wrong is my path settings I have screenshots bellow.
I followed several different youtube tutorials faithfully until the final one here gave me a way to install it to jupyter. Which is great, but I also need it to run on google colab as well.
I've been trying this since Friday and it's now tuesday and I'm losing my mind over this. Help me stackoverflow, you're my only hope.
https://imgur.com/a/8WibGWT
If you can get it running on your own Jupyter server then you can point colab to that local server.
Full instructions here: https://research.google.com/colaboratory/local-runtimes.html but edited highlights are:
install jupyter_http_over_ws:
pip install jupyter_http_over_ws
jupyter serverextension enable --py jupyter_http_over_ws
start your local server allowing colab domain:
jupyter notebook \
--NotebookApp.allow_origin='https://colab.research.google.com' \
--port=8888 \
--NotebookApp.port_retries=0
Click 'connect to local runtime' in colab