What are some common issues with Python's memory profiler?
Some common issues include inaccurate memory usage reports, overhead affecting performance, and difficulties in profiling multi-threaded applications.
How can I resolve inaccurate memory usage reports?
You can try using the @profile
decorator correctly, ensuring that the function is not optimized away by the Python interpreter.
What should I do if the profiler slows down my application?
Consider using the --include-children
option sparingly, or profile smaller sections of your code to minimize overhead.
Are there alternatives to memory profiler?
Yes, alternatives include objgraph
, guppy
, and memory_profiler
which can provide different insights into memory usage.
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