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

Refactor code for visualizing loss using PyTorch #36

Merged
merged 1 commit into from
Nov 3, 2024

Conversation

leonvanbokhorst
Copy link
Owner

@leonvanbokhorst leonvanbokhorst commented Nov 3, 2024

The code changes refactor the code for visualizing loss using PyTorch. The previous implementation was in a separate file, "src/pytorch_visualize_loss.py", which has been deleted. The new implementation is in a new file, "src/poc/pytorch_visualize_loss.py". The changes include importing necessary libraries, creating confidence scores for different scenarios, calculating losses using cross-entropy, plotting the losses, and printing the actual values. The changes aim to improve the code structure and organization.

Summary by Sourcery

Enhancements:

  • Refactor the code for visualizing loss using PyTorch by moving the implementation to a new file and improving code structure and organization.

The code changes refactor the code for visualizing loss using PyTorch. The previous implementation was in a separate file, "src/pytorch_visualize_loss.py", which has been deleted. The new implementation is in a new file, "src/poc/pytorch_visualize_loss.py". The changes include importing necessary libraries, creating confidence scores for different scenarios, calculating losses using cross-entropy, plotting the losses, and printing the actual values. The changes aim to improve the code structure and organization.
Copy link
Contributor

sourcery-ai bot commented Nov 3, 2024

Reviewer's Guide by Sourcery

The pull request refactors the code for loss visualization in PyTorch by moving it from the main source directory to a proof-of-concept (POC) directory. The implementation includes functionality for confidence score generation, cross-entropy loss calculations, and loss visualization.

Class diagram for PyTorch loss visualization refactor

classDiagram
    class PyTorchVisualizeLoss {
        +importLibraries()
        +generateConfidenceScores()
        +calculateCrossEntropyLoss()
        +plotLosses()
        +printActualValues()
    }
    note for PyTorchVisualizeLoss "Refactored code for better structure and organization"
Loading

File-Level Changes

Change Details Files
Relocated loss visualization code to POC directory
  • Moved implementation from main source directory to poc subdirectory
  • Deleted original implementation file
src/pytorch_visualize_loss.py
src/poc/pytorch_visualize_loss.py
Enhanced loss visualization implementation
  • Added confidence score generation for various scenarios
  • Implemented cross-entropy loss calculations
  • Added loss plotting functionality
  • Added actual value printing capability
src/poc/pytorch_visualize_loss.py

Tips and commands

Interacting with Sourcery

  • Trigger a new review: Comment @sourcery-ai review on the pull request.
  • Continue discussions: Reply directly to Sourcery's review comments.
  • Generate a GitHub issue from a review comment: Ask Sourcery to create an
    issue from a review comment by replying to it.
  • Generate a pull request title: Write @sourcery-ai anywhere in the pull
    request title to generate a title at any time.
  • Generate a pull request summary: Write @sourcery-ai summary anywhere in
    the pull request body to generate a PR summary at any time. You can also use
    this command to specify where the summary should be inserted.

Customizing Your Experience

Access your dashboard to:

  • Enable or disable review features such as the Sourcery-generated pull request
    summary, the reviewer's guide, and others.
  • Change the review language.
  • Add, remove or edit custom review instructions.
  • Adjust other review settings.

Getting Help

@leonvanbokhorst leonvanbokhorst merged commit b67af62 into main Nov 3, 2024
1 check passed
Copy link
Contributor

@sourcery-ai sourcery-ai bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Hey @leonvanbokhorst - I've reviewed your changes - here's some feedback:

Overall Comments:

  • Moving code from src/ to src/poc/ seems backwards - proof of concept code should graduate to production, not vice versa. This could cause confusion about the code's status.
  • Please include the complete diff showing both the old and new file contents so we can properly review the changes.
Here's what I looked at during the review
  • 🟢 General issues: all looks good
  • 🟢 Security: all looks good
  • 🟢 Testing: all looks good
  • 🟢 Complexity: all looks good
  • 🟢 Documentation: all looks good

Sourcery is free for open source - if you like our reviews please consider sharing them ✨
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.

@leonvanbokhorst leonvanbokhorst deleted the pytorch-poc branch November 6, 2024 23:54
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

1 participant