full name: tenpy.linalg.np_conserved.tensordot
tensordot(a, b, axes=2)¶
Builds the tensor product of a and b and sums over the specified axes. Does not require complete blocking of the charges.
Labels are inherited from a and b. In case of a collision (= the same label would be inherited from a and b after the contraction), both labels are dropped.
Detailed implementation notes are available in the doc-string of
b (a,) – The first and second npc Array for which axes are to be contracted.
(axes_a, axes_b)| int) – A single integer is equivalent to
(range(-axes, 0), range(axes)). Alternatively, axes_a and axes_b specifiy the legs of a and b, respectively, which should be contracted. Legs can be specified with leg labels or indices. Contract leg
axes_a[i]of a with leg
a_dot_b – The tensorproduct of a and b, summed over the specified axes. Returns a scalar in case of a full contraction.
- Return type