Platform: Kaggle Kernels

Added a note in the top post

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Seems time limit was increased to 9 hours as per kaggle docs, didn’t test it yet…

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I think this is a result of insufficient shared memory, you can work around it my setting num_workers=0

https://www.kaggle.com/product-feedback/72606#latest-429470

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Hello,
i want to try out my own data set:
so i uploaded it as a .zip, and it shows in …input directory
my question now is, how do i specify it as a path and if i need to do any unzipping for the images?

Edit:
i tried to:

path = Path(’…/input/’)
path_img = Path(’…/input/celebs/celebs.zip’)

and when i run:
fnames = get_image_files(path_img)
fnames[:5]

i get an error: FileNotFoundError: [Errno 2] No such file or directory: '…/input/celebs/celebs.zip’

45bad7273fe32fb258d87ecf641122fa

Hi,
I am in lesson 1 and when I try to download the pet data I get this error message.

gaierror Traceback (most recent call last)
/opt/conda/lib/python3.6/site-packages/urllib3/connection.py in _new_conn(self)
140 conn = connection.create_connection(
–> 141 (self.host, self.port), self.timeout, **extra_kw)
142

/opt/conda/lib/python3.6/site-packages/urllib3/util/connection.py in create_connection(address, timeout, source_address, socket_options)
59
—> 60 for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM):

Any ideas?

Solution: Although, I had enabled the internet connection, I needed to refresh my browser for it to work. All good now.

Hi @andresa,
Can you double check if the ā€˜internet connection’ is enabled in the kernel?

Yes it is?

Hi Sanyam, after a refresh I have it working.
Thanks

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Kindly edit your question and add the solution there as well, Thanks.

Hi Sanyam,
All done.

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@wdhorton @miwojc

Can you please add me too? My kaggle user is dromosys

Thanks

I’ve fixed the following kernels that had BusErrors and I’ve made some minor error fixes as well:

I think these errors were due to a version difference. Please let me know if you spot any other issues.
Thanks to @Ajaxon6255 for sharing many fixes. :slight_smile:

I am trying to run lesson 2 and the notebook keeps refreshing and losing all my work. How can I fix this?

Not sure why that’s happening.
Do you have a fixed speed connection? It might be an outage at kaggle’s end.

does pressing commit save my work?

How do you save your work? My work is constantly lost by kaggle refreshing?

@andresa Gotcha! So by default you’ll lose the data when you refresh, you need to commit to save the work.
Warning: For Lesson 2, since the number of images downloaded>500, the kernels will give an error because this is larger than kaggle’s limit.

I am trying to train a model with
learn = create_cnn(data, models.resnet34, metrics=error_rate)

I get the following error:
OSError: [Errno 30] Read-only file system: '../input/wildkraut/wildkraut/models'

My kernel has an internet connection, I refreshed the site and my GPU is on… I uploaded the dataset in a normal way and the dataBunch shows up… Thankful for any help <3

You should pass the ā€˜model_dir’ keyword arg to create_cnn. You can set it to tmp/models

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Great - thanks @wdhorton that seemed to work. I guess model_dir = '/tmp/models' tells the create_cnn that it should open up a new folder and save the created model inside? (Couldn’t find an explanation for the keyword arg neither in the docs, nor anywhere else…)