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.
1.0 KiB
1.0 KiB
Search and Replace Guidelines
search_and_replace
<search_and_replace>
<path>File path here</path>
<operations>
[{"search":"old_text","replace":"new_text","use_regex":true}]
</operations>
</search_and_replace>
Required Parameters:
path: The file path to modifyoperations: JSON array of search and replace operations
Each Operation Must Include:
search: The text to search for (REQUIRED)replace: The text to replace with (REQUIRED)use_regex: Boolean indicating whether to use regex (optional, defaults to false)
Common Errors to Avoid:
- Missing
searchparameter - Missing
replaceparameter - Invalid JSON format in operations array
- Attempting to modify non-existent files
- Malformed regex patterns when use_regex is true
Best Practices:
- Always include both search and replace parameters
- Verify the file exists before attempting to modify it
- Use apply_diff for complex changes instead
- Test regex patterns separately before using them
- Escape special characters in regex patterns