[Numpy-discussion] tensor dot ?

[Simon B. <si...@ar...>]

>>> numpy.dot.__doc__
matrixproduct(a,b)
Returns the dot product of a and b for arrays of floating point types.
Like the generic numpy equivalent the product sum is over
the last dimension of a and the second-to-last dimension of b.
NB: The first argument is not conjugated.

Does numpy support summing over arbitrary dimensions,
as in tensor calculus ?

I could cook up something that uses transpose and dot, but it's
reasonably tricky i think :)

Simon.

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