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pytorch/torch/profiler
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briancoutinho 6e734bab93 execution trace export supports gzip format (#146179) 
As above, allows Chakra Execution Trace observer to support compressing files.
Usage is straightforward, just add ".gz" suffix to the output file name
```
et = ExecutionTraceObserver()
et.register_callback("my_trace.json.gz")
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/146179
Approved by: https://github.com/shengfukevin, https://github.com/davidberard98, https://github.com/sraikund16
2025-02-01 01:25:25 +00:00
..
__init__.py
_memory_profiler.py PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu (#145175) 2025-01-21 16:57:27 +00:00
_pattern_matcher.py PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu (#145175) 2025-01-21 16:57:27 +00:00
_utils.py PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu (#145175) 2025-01-21 16:57:27 +00:00
itt.py
profiler.py execution trace export supports gzip format (#146179) 2025-02-01 01:25:25 +00:00
python_tracer.py PEP585 update - torch/nn torch/optim torch/package torch/profiler torch/serialization torch/sparse torch/xpu (#145175) 2025-01-21 16:57:27 +00:00