[RFC] Clean up debug code and improve output messages

[ConvolutedDog]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @ConvolutedDog, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request streamlines the development and debugging experience by cleaning up excessive debug output and improving the clarity of console messages. It introduces new command-line options for granular control over verbose logging of generated code and intermediate representations, while also adjusting default test behaviors to be less verbose by default. These changes aim to make the system's output more focused and easier to navigate.

Highlights

• Debug Output Removal: Extensive removal of the DEBUG flag and all associated conditional print statements across codegenR.py, significantly reducing verbose debugging output during execution.
• Improved Console Messaging: Enhanced clarity and consistency of console output messages in policy/ConstructionPolicyRT.py, test_op.py, and test_op_mp.py for a better user experience, including capitalization and more descriptive phrasing.
• Configurable Verbosity: Introduction of --verbose_cuda_code and --verbose_irmodule command-line arguments in test scripts (test_op.py, test_op_mp.py) to allow controlled display of generated CUDA code and TVM IRModule, respectively.
• Default gen_check_code Change: The default value for the --gen_check_code argument in test scripts has been switched from True to False, altering the default behavior of generating result checking code.
• Warning Suppression: A warnings.warn block in op/Op.py related to unpad_outs has been commented out, suppressing a specific warning.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for Github and other Google products, sign up here.

You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request focuses on cleaning up debugging code and improving output messages. The changes primarily involve removing DEBUG flags, print statements, and commented-out code, which significantly improves code cleanliness. Additionally, some output messages have been capitalized for better readability, and new command-line arguments have been introduced to control verbose output.

My review focuses on ensuring the cleanup is complete and consistent, and that the new output handling follows best practices. I've suggested using Python's logging module instead of print() in library files for better control and modularity. I also found a few places where the new verbose flags were not used consistently and where informational output could be further improved.