Hi,
I encounter a problem in ungraded lab when downloading the dataset of Oxford pet data, it was upgraded from version 3.x to 4.0.0 and I changed the code but still it gives me error message. A little help will appreciate thanks
If you hit a problem with checksums, you can execute the following line first
please check the colab notebook in the course environment is running on which version or
Learners can reload the colab from the classroom or just add these lines at the top of their existing notebook (then run everything again to generate a new model file):
# If you hit a problem with checksums, you can execute the following line first
!python -m tensorflow_datasets.scripts.download_and_prepare --register_checksums --datasets=oxford_iiit_pet:3.1.0
# download the dataset and get info
dataset, info = tfds.load('oxford_iiit_pet:3.*.*', with_info=True)
was your code also same? as in the post created topic I see 3.1.0 being removed in your msg. can you confirm this please
if you have edited out the codes, then refresh the notebook environment, to get its original form and then first check in the colab on which version of tensorflow, keras and tf- keras colab notebook is working on.
Hi everyone! Thank you for reporting this. There is an issue with TFDS and the workaround for now is to downgrade it to a previous version. You can reopen the notebook from the classroom to see the changes. Alternatively, you can add this line up top before importing the packages:
!pip install tensorflow_datasets==4.9.3
You can also comment out the code that registers the checksum because it won’t throw any error anymore.