Closed michaelreneer closed 1 year ago
Hey @michaelreneer :wave: Do you mind sharing the PyPi URL of the project? is it this one? https://pypi.org/admin/projects/tensorflow-federated/
Also, please keep in mind the default project size is 10GB, assuming you haven't requested another increase in the past (since I don't have the pypi link cannot check) doing a 5x jump seems a bit too much.
But anyway, let me know about the pypi link so we can see the details.
Sorry about that, I think I mistakenly put the GitHub URL into the form instead of the PyPI URL. Here is the URL https://pypi.org/project/tensorflow-federated/.
Out of curiosity what is a reasonable sized jump?
Thanks @michaelreneer, I can see that you haven't even reach 1G in your project, and the limit id 10G, but you are asking an increase to 50G. I think it might be too early for such increase, is there any motivation of the request? It's usually understandable when a project is reaching the limit, but I think you have enough time for many releases at the moment.
@cmaureir thanks. This is interesting, now that I take a look at https://pypi.org/manage/project/tensorflow-federated/settings/ I can confirm that the current limit is 10G. For whatever reason I believed that it was 1G and that we were approaching the limit quickly. I agree with you it's probably too early for an total project limit increase.
Note: I selected 50G arbitrarily because I didn't see any guidance on increase size requests. For the future, what is an appropriate total project size increase when that time comes?
Forgot to close this, but I'm glad you solved it :) have a nice rest of the week!
Project URL
https://github.com/tensorflow/federated
Does this project already exist?
New limit
50
Update issue title
Which indexes
PyPI
About the project
TensorFlow Federated (TFF) is an open-source framework for machine learning and other computations on decentralized data. TFF has been developed to facilitate open research and experimentation with Federated Learning (FL), an approach to machine learning where a shared global model is trained across many participating clients that keep their training data locally. For example, FL has been used to train prediction models for mobile keyboards without uploading sensitive typing data to servers.
Active for approximately 5 years.
How large is each release?
We ship a binary as part of the package. Currently the binary is 39 MB. We intend to make a change that will increase that size to 65 MB.
How frequently do you make a release?
Once a week.
Code of Conduct