Alex S. schrieb am 15.07.2015 um 13:51: > The issue was described here: http://trac.cython.org/ticket/847 but was, > however, misidentified. The wrapper for a function which receives "fused > slice" (D[:]) arguments automatically includes the following code: >> cdef type ndarray >> try: >> import numpy >> ndarray = numpy.ndarray >> except (ImportError, AttributeError, TypeError): >> ndarray = None > (Compiler/FusedNode.py:468). > When numpy is not installed, each import tries to search for it in the > system path. (When it is, it's just cached). This severely degrades the > performance.
Sounds like enabling the absolute_import future import might help at least a little. https://github.com/cython/cython/commit/ac4f248b4109cb17b2da53dc7b38e359c5dee612 But yes, this is definitely a problem. In general, the way extension types are handled in the fused types dispatch code (and that includes numpy arrays) would seriously benefit from optimisation, including cached one-time imports. Stefan _______________________________________________ cython-devel mailing list cython-devel@python.org https://mail.python.org/mailman/listinfo/cython-devel
