googlecolab / open_in_colab Goto Github PK

I was trying to train a Transformer model . But after 2epochs training abruptly stops with ^C.

After !pip installed autokeras in Google Colab, the tensorflow-gpu could not work, the issue is: Could not load dynamic library 'libcusolver.so.11'; dlerror: libcusolver.so.11: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia

But I have tried to create link: !sudo ln -s /usr/lib64-nvidia/libcusolver.so.11 /usr/lib64-nvidia/libcusolver.so.10

And when I tried: !sudo ln -s /usr/lib64-nvidia/libcusolver.so.10 /usr/lib64-nvidia/libcusolver.so.11 It showed: ln: failed to create symbolic link '/usr/lib64-nvidia/libcusolver.so.11': File exists

It means libcusolver.so.11 existed. Then what's wrong with this issue? It just only installed autokeras, not did others. I have tried whole day, only worked one time. Thank you for help me!

I have a map in my drive. when I go to the map to open the collab file with ipynb extension it only wants to download. is there software I shall use to connect to my drive and open from there?

Should be able to limit the extension to only github URLs with:
https://developer.chrome.com/apps/match_patterns

Since this is a webextension, the same code should work as a Firefox add-on.

I want to convert a machine learning model i.e. .h5 into .tflite , so I am uploading to the colab , but getting this error..
There was an error loading this notebook. Ensure that the file is accessible and try again.
Unexpected token � in JSON at position 0

Unexpected token � in JSON at position 0 SyntaxError: Unexpected token � in JSON at position 0 at JSON.parse (<anonymous>) at Aa.program_ (https://colab.research.google.com/v2/external/external_polymer_binary.js?vrz=colab-20200124-082401-RC00_291376485:1623:8) at Ca (https://colab.research.google.com/v2/external/external_polymer_binary.js?vrz=colab-20200124-082401-RC00_291376485:17:336) at Aa.next_ (https://colab.research.google.com/v2/external/external_polymer_binary.js?vrz=colab-20200124-082401-RC00_291376485:15:474) at Ea.next (https://colab.research.google.com/v2/external/external_polymer_binary.js?vrz=colab-20200124-082401-RC00_291376485:18:206) at b (https://colab.research.google.com/v2/external/external_polymer_binary.js?vrz=colab-20200124-082401-RC00_291376485:26:268)

How do I Rectify this in Google Colab?

The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
--NotebookApp.iopub_data_rate_limit.

Current values:
NotebookApp.iopub_data_rate_limit=1000000.0 (bytes/sec)
NotebookApp.rate_limit_window=3.0 (secs)

It would be nice to link to the source code from the web store page. Something like this:

It gets stuck at the loading page forever. I tried clearing browser cache, incognito mode, deleting colab folder from the drive but nothing works. Facing the issue from last two days

Using:

from google.colab import drive
drive.mount('/content/drive')

gives me (after singing in using the popup):

/usr/local/lib/python3.7/dist-packages/google/colab/_message.py in read_reply_from_input(message_id, timeout_sec)
    104         reply.get('colab_msg_id') == message_id):
    105       if 'error' in reply:
--> 106         raise MessageError(reply['error'])
    107       return reply.get('data', None)
    108 

MessageError: Error: credential propagation was unsuccessful

and using:

from google.colab import drive
drive._mount('/content/drive')

gives me:

/usr/local/lib/python3.7/dist-packages/google/colab/drive.py in _mount(mountpoint, force_remount, timeout_ms, use_metadata_server, ephemeral)
    294       wrote_to_fifo = True
    295     elif case == 5 and not use_metadata_server:
--> 296       raise ValueError('mount failed: invalid oauth code')
    297     elif case == 6:
    298       # Terminate the DriveFS binary before killing bash.

ValueError: mount failed: invalid oauth code

Originally posted by @kdassharma in googlecolab/colabtools#1568 (comment)

Hi Everyone,
Here's the training algorithm I am trying to implement:
https://colab.research.google.com/drive/1rgDy-5sPEAk3juqyoWaDBJEu0BSl-AhG?usp=sharing
The respective training, test, and validation files are here:
https://drive.google.com/drive/folders/120p3hzk4NlIodqPKyuVlweRYtZlGxk_A?usp=sharing, https://drive.google.com/drive/folders/1jmjS0UtPrhzOnIAUCk_iExEXFwm4lRx-?usp=sharing, and
https://drive.google.com/file/d/1Np0g6LM3ZcNR4tJ_aDuti8EnkPI_77L-/view?usp=sharing.
It trained well for a smaller size data set.
For this data set it started training upto 71 epochs and then stopped after complaining about buffering issues.
I am only loading a small batch size of 50 rows at a time in the code from the numpy array stored in the gmail colab folder. So shouldnt have this issue.
Any suggestions would be greatly appreciated. Many thanks.
Souvik