On Mo, 2014-09-15 at 10:16 +0200, Mads Ipsen wrote: > Hi, > > I am trying to inspect the reference count of numpy arrays generated by > my application. > > Initially, I thought I could inspect the tracked objects using > gc.get_objects(), but, with respect to numpy objects, the returned > container is empty. For example: > > import numpy > import gc > > data = numpy.ones(1024).reshape((32,32)) > > objs = [o for o in gc.get_objects() if isinstance(o, numpy.ndarray)] > > print objs # Prints empty list > print gc.is_tracked(data) # Print False > > Why is this? Also, is there some other technique I can use to inspect > all numpy generated objects? >
Two reasons. First of all, unless your array is an object arrays (or a structured one with objects in it), there are no objects to track. The array is a single python object without any referenced objects (except possibly its `arr.base`). Second of all -- and this is an issue -- numpy doesn't actually implement the traverse slot, so it won't even work for object arrays (numpy object arrays do not support circular garbage collection at this time, please feel free to implement it ;)). - Sebastian > Thanks in advance. > > Best regards, > > Mads >
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