Dockerfile for self-supervised examples #1322
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
…yst into docker-for-self-supervised
Scitator
previously requested changes
Oct 7, 2021
examples/self_supervised/common.py
Outdated
| @@ -74,3 +82,52 @@ def forward(self, x): | |||
| emb = self.encoder(x) | |||
| projection = self.model(emb) | |||
| return emb, projection | |||
|
|
|||
|
|
|||
| def get_loaders(args) -> Dict[str, DataLoader]: | |||
There was a problem hiding this comment.
let's unpack args here (very bad practice, hard to understand)
There was a problem hiding this comment.
dataset, batch_size, num_workers, etc
examples/self_supervised/common.py
Outdated
| return {"train": train_loader, "valid": valid_loader} | ||
|
|
||
|
|
||
| def get_contrastive_model(args) -> ContrastiveModel: |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Pull Request FAQ
Description
We have a lot of self-supervised algorithms to test.
The Docker is the selected option for the testing.
Related Issue
Type of Change
PR review
Anyone in the community is free to review the PR once the tests have passed.
If we didn't discuss your PR in Github issues there's a high chance it will not be merged.
Checklist
latestandminimalrequirements?