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.
32 lines
869 B
Markdown
32 lines
869 B
Markdown
# Code Editing Guidelines
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## apply_diff
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```xml
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<apply_diff>
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<path>File path here</path>
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<diff>
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<<<<<<< SEARCH
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Original code
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=======
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Updated code
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>>>>>>> REPLACE
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</diff>
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</apply_diff>
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```
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### Required Parameters:
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- `path`: The file path to modify
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- `diff`: The diff block containing search and replace content
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### Common Errors to Avoid:
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- Incomplete diff blocks (missing SEARCH or REPLACE markers)
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- Including literal diff markers in code examples
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- Nesting diff blocks inside other diff blocks
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- Using incorrect diff marker syntax
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- Including backticks inside diff blocks when showing code examples
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### Best Practices:
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- Always verify the file exists before applying diffs
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- Ensure exact text matching for the search block
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- Use read_file first to confirm content before modifying
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- Keep diff blocks simple and focused on specific changes |