some improvements over @demiurg906's pull request#119
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It is now possible to use ``tracemalloc`` to analyze memory usage Python
code on Python 3.4 and above. ``tracemalloc`` allows for more precise
measurements compared to ``psutil``. However, it only works either for
pure Python code or for C extensions allocating memory via ``PyMem_Alloc``.
To use the new backend code run ``memory_profiler`` with ``--backend``
option, e.g.
$ python -m memory_profiler --backend=tracemalloc script.py
Also if you use ``memory_profiler`` with imported decorator you can specify
backend as an argument to the decorator function:
@Profile(backend='tracemalloc')
def f(n):
a = [0] * n
return a
``backend`` parameter to ``@profile`` has priority over ``--backend``.
Note that using ``tracemalloc`` in ``mprof`` and IPython magic is not
supported at the moment.
Contributor
|
@fabianp, I think your improvements works well and PR can be merged |
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