Hello, what code paths does `numpy.dot(matrix, matrix)` take with regard to the order of the input matrices (c/fortran contiguous?).
In particular, under what conditions does it make a copy of the input matrices, and under which conditions does it set the gemm transposition flags internally? Does this change with different numpy versions, is there a contract re this behaviour? My concern is 1) memory (matrices are large, cannot afford extra copies) and 2) performance. Sorry if I missed this in the documentation. Cheers! Radim _______________________________________________ NumPy-Discussion mailing list [email protected] http://mail.scipy.org/mailman/listinfo/numpy-discussion
