Tensorboard callbacks

[arv-77]

Changes

Fixes #123

Type of change

• 📚 Documentation Update
• 🧪 Tests Cases
• 🐞 Bug fix (non-breaking change which fixes an issue)
• 🔬 New feature (non-breaking change which adds functionality)
• 🚨 Breaking change (fix or feature that would cause existing functionality to not work as expected)
• 📝 This change requires a documentation update

Checklist

• My code follows the style guidelines of this project
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas
• I have made corresponding changes to the documentation
• My changes generate no new warnings
• Did you update CHANGELOG (docs/CHANGELOG.md) in case of a major change?

Solves issue #123
I have added basic tensorboard callback functionality which include: logging the loss and accuracy for both training and validation.
Is there any other functionality of tensorboard that I need to add @aniketmaurya

[github-actions]

👋 @arvindmuralie77! Thank you for opening your first pull request in this repo. We are so happy that you have decided to contribute and value your contribution. Please read these materials before proceeding: Contributing Guide and Code of Conduct.

[codecov]

Codecov Report

Merging #173 (5a92610) into main (d6ec5bc) will decrease coverage by 1.76%.
The diff coverage is 26.41%.

@@            Coverage Diff             @@
##             main     #173      +/-   ##
==========================================
- Coverage   96.75%   94.99%   -1.77%     
==========================================
  Files          68       69       +1     
  Lines        2064     2117      +53     
==========================================
+ Hits         1997     2011      +14     
- Misses         67      106      +39     

Flag	Coverage Δ
unittests	94.99% <26.41%> (-1.77%)	⬇️

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Impacted Files	Coverage Δ
gradsflow/callbacks/tensorboard.py	25.00% <25.00%> (ø)
gradsflow/callbacks/__init__.py	100.00% <100.00%> (ø)

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[aniketmaurya]

@arvindmuralie77 awesome work, feel free to set the PR for review when you're ready.

[arv-77]

@aniketmaurya set the PR as ready for review

[aniketmaurya]

@aniketmaurya set the PR as ready for review

Looks good! Do wanna add logging for step_loss as well in this PR or maybe a next PR?

[arv-77]

Sure I'll add step_loss in this PR

[arv-77]

Hey, @aniketmaurya should I also plot the metrics for every step epoch?

[aniketmaurya]

Hey, @aniketmaurya should I also plot the metrics for every step epoch?

Sure, let's log metrics for every train_step

[aniketmaurya]

You can check to the Wandb callback for reference.

[aniketmaurya]

LGTM 👍
Thanks for your contribution 🎉

[sonarqubecloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
0 Code Smells

No Coverage information
0.0% Duplication

[arv-77]

@aniketmaurya added functionality for plotting metrics and loss for every step_loss as well

[aniketmaurya]

Awesome work! Let's merge this now.