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Pull Request Overview
This PR integrates the TraceDiff API into TraceLens, enabling in-depth structural comparison of execution traces across different backend engines and hardware platforms. TraceDiff provides automated tree comparison, detailed diff visualization, and comprehensive statistical reporting.
Key changes:
- Added TraceDiff as a new module with core diff algorithm implementation
- Provided comprehensive documentation explaining API usage and output interpretation
- Created example notebook demonstrating practical usage with real traces
Reviewed Changes
Copilot reviewed 5 out of 5 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
| TraceLens/TraceDiff/trace_diff.py | Core TraceDiff implementation with tree merging, diff boundaries calculation, and statistical reporting |
| TraceLens/TraceDiff/init.py | Module initialization exporting TraceDiff class |
| TraceLens/init.py | Updated main package imports to include TraceDiff |
| docs/TraceDiff.md | Comprehensive documentation with API usage examples and output interpretation |
| examples/trace_diff_example.ipynb | Complete notebook example demonstrating TraceDiff functionality |
Comments suppressed due to low confidence (2)
TraceLens/TraceDiff/trace_diff.py:59
- Variables 'path1' and 'path2' are used but 'trace_file1' and 'trace_file2' are defined. This will cause a NameError at runtime.
pod.update(uid)
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| def get_kernel_info_subtree(root_uid, tree_uid2node): | ||
| node = tree_uid2node.get(root_uid) | ||
| gpu_event_uids = node['gpu_events'] |
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Accessing 'gpu_events' key without checking if it exists will cause a KeyError if the key is missing from the node dictionary.
| gpu_event_uids = node['gpu_events'] | |
| gpu_event_uids = node.get('gpu_events', []) |
| def get_kernel_info_subtree(root_uid, tree_uid2node): | ||
| node = tree_uid2node.get(root_uid) | ||
| gpu_event_uids = node['gpu_events'] | ||
| gpu_events = [tree_uid2node.get(uid) for uid in gpu_event_uids] |
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This list comprehension can include None values if UIDs are not found in tree_uid2node, which will cause errors in subsequent operations.
| gpu_events = [tree_uid2node.get(uid) for uid in gpu_event_uids] | |
| gpu_events = [tree_uid2node.get(uid) for uid in gpu_event_uids if tree_uid2node.get(uid) is not None] |
| node = tree_uid2node.get(root_uid) | ||
| gpu_event_uids = node['gpu_events'] | ||
| gpu_events = [tree_uid2node.get(uid) for uid in gpu_event_uids] | ||
| kernel_names = [gpu_event['name'] for gpu_event in gpu_events] |
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This will raise a TypeError if any gpu_event is None (from the previous line) or a KeyError if 'name' key doesn't exist in the gpu_event dictionary.
| kernel_names = [gpu_event['name'] for gpu_event in gpu_events] | |
| kernel_names = [gpu_event['name'] for gpu_event in gpu_events if gpu_event is not None and 'name' in gpu_event] |
examples/trace_diff_example.ipynb
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| "trace_file2 = \"/path/to/trace2.json\"\n", | ||
| "\n", | ||
| "perf_analyzer1 = TreePerfAnalyzer.from_file(path1)\n", | ||
| "perf_analyzer2 = TreePerfAnalyzer.from_file(path2)\n", |
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The example uses placeholder paths that won't work. Consider adding a note about updating these paths or providing sample trace files.
| "perf_analyzer2 = TreePerfAnalyzer.from_file(path2)\n", | |
| "perf_analyzer1 = TreePerfAnalyzer.from_file(trace_file1)\n", | |
| "perf_analyzer2 = TreePerfAnalyzer.from_file(trace_file2)\n", |
examples/trace_diff_example.ipynb
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| "trace_file2 = \"/path/to/trace2.json\"\n", | ||
| "\n", | ||
| "perf_analyzer1 = TreePerfAnalyzer.from_file(path1)\n", | ||
| "perf_analyzer2 = TreePerfAnalyzer.from_file(path2)\n", |
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The example uses placeholder paths that won't work. Consider adding a note about updating these paths or providing sample trace files.
| "perf_analyzer2 = TreePerfAnalyzer.from_file(path2)\n", | |
| "# TODO: Update the paths above to your actual trace files before running this cell.\n", | |
| "\n", | |
| "perf_analyzer1 = TreePerfAnalyzer.from_file(trace_file1)\n", | |
| "perf_analyzer2 = TreePerfAnalyzer.from_file(trace_file2)\n", |
TraceDiff is a standalone tool that allows in-depth structural comparison of execution traces across different backend engines and hardware platforms. This tool is now available as an API in TraceLens.
Features:
(Closes #23)