Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Replace models1 usage with fully_conv_net #53

Closed
wants to merge 1 commit into from
Closed

Conversation

raehik
Copy link
Contributor

@raehik raehik commented Jun 13, 2023

Closes #43.

Tasks to complete to close this issue.

  • (No need to remove dynamic module importing for now.)
  • Add defaults to CLI flags to use fully_conv_net
  • MLProject file
  • Example commands in README.md
  • Add an explicit reference to the fully_conv_net in TrainScript.py

There are some known defects in previous PR (#19) which require matching changes in the models1.py and fully_conv_net.py modules. These are:

  • TODO: List of changes

This PR is dependant on #40 and should not be merged until the test is added. This could (optionally) be done as part of this PR.

@raehik raehik changed the title Clean up model1 Replace models1 usage with fully_conv_net Jun 14, 2023
@dorchard
Copy link
Collaborator

Once #50 is merged then this can be more easily tested and can also be merged.

@raehik
Copy link
Contributor Author

raehik commented Aug 14, 2023

On hold while training step execution was being debugged. Looking at this again. I do want a method to compare two neural nets... I believe the architecture should be unchanged, so maybe asserting that is enough?

@raehik
Copy link
Contributor Author

raehik commented Sep 19, 2023

Related work in train-step-refactor branch.

@raehik raehik added the stalled Stalled work. label Nov 7, 2023
@raehik raehik closed this Nov 17, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
stalled Stalled work.
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Replace models1 usage with fully_conv_net
2 participants