f3c77b1750
- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads. - Added a comprehensive training utility for the model, including loss functions and training steps. - Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
1.2 KiB
1.2 KiB
Preventing apply_diff Errors
CRITICAL: When using apply_diff, never include literal diff markers in your code examples
CORRECT FORMAT for apply_diff:
<apply_diff>
<path>file/path.js</path>
<diff>
<<<<<<< SEARCH
// Original code to find (exact match)
=======
// New code to replace with
>>>>>>> REPLACE
</diff>
</apply_diff>
COMMON ERRORS to AVOID:
- Including literal diff markers in code examples or comments
- Nesting diff blocks inside other diff blocks
- Using incomplete diff blocks (missing SEARCH or REPLACE markers)
- Using incorrect diff marker syntax
- Including backticks inside diff blocks when showing code examples
When showing code examples that contain diff syntax:
- Escape the markers or use alternative syntax
- Use HTML entities or alternative symbols
- Use code block comments to indicate diff sections
SAFE ALTERNATIVE for showing diff examples:
// Example diff (DO NOT COPY DIRECTLY):
// [SEARCH]
// function oldCode() {}
// [REPLACE]
// function newCode() {}
ALWAYS validate your diff blocks before executing apply_diff
- Ensure exact text matching
- Verify proper marker syntax
- Check for balanced markers
- Avoid nested markers